24 jobs found

Design and deliver production grade AI systems that power data intensive financial products for global clients-turning cutting edge LLM capabilities into reliable, scalable services that make a real impact. This role offers the opportunity to build AI solutions end to end, working with modern platforms like Databricks, Spark, and Delta Lake while shaping an internal AI platform used across the organisation. You'll work at the intersection of software engineering, data engineering, and platform architecture, integrating LLMs into real products where data quality, traceability, and explainability are essential. You'll collaborate with data, product, and platform teams, contribute to complex problem solving in a regulated environment, and grow your technical depth through meaningful ownership, continuous learning, and a supportive engineering culture. Your key responsibilities as a Senior Software Engineer - AI Solutions will include: Developing AI agents and LLM backed data pipelines in Databricks, progressing solutions from experimentation through to production. Designing, building, and maintaining scalable data and ML pipelines using Spark, Delta Lake, and modern orchestration tools. Evolving the internal AI platform to expand capabilities, reliability, and developer usability. Integrating LLMs into existing products and workflows with a focus on data quality, traceability, and explainability. Translating business requirements into robust technical solutions in partnership with data, product, and platform teams. Ensuring solutions meet performance, security, and compliance requirements expected in regulated financial environments. You will need the following experience and skills to join us as a Senior Software Engineer - AI Solutions: You have strong professional experience as a software engineer, with recent hands on work in AI/ML or data intensive systems. You are skilled in Python and TypeScript and have solid experience with distributed data processing (Spark preferred). You have proven experience building and operating data pipelines in Databricks or similar platforms. You have practical experience working with LLMs (e.g., OpenAI, Azure OpenAI), including prompt design, evaluation, and production integration. You demonstrate strong software engineering fundamentals-API design, testing, version control, CI/CD, and observability. FE fundinfo is a leading financial data provider, connecting the investment industry across the UK, Europe, and Asia Pacific through an integrated platform. Our skilled team empowers clients with data driven insights, making the industry Navigate Complexity with Confidence! We foster a collaborative and inclusive work environment where engineers contribute to meaningful outcomes and are encouraged to explore new tools and techniques. You can expect hybrid working options, flexible hours to support work-life balance, regular knowledge sharing sessions, and continuous learning opportunities. We value curiosity, pragmatic engineering, and teamwork-creating a space where you can grow your expertise while delivering secure, scalable solutions. Benefits: 25 days of annual leave with the option to buy an extra 5 days each year. Benefit from enhanced paternity, maternity, and shared parental leave. Secure your future with our pension scheme. Advance your career with sponsored learning and development, including formal qualifications. Private medical insurance as employee wellbeing matters Stay fit with discounted gym memberships. Take advantage of the Bike to Work scheme for eco friendly commuting. Keep your eyes sharp with eye care and flu jab services.

You'll report to: We're hiring two Product Owners - one reporting to James Bearne (Product Manager) and the other to Adam Knight (Head of Product). Team: Product Location: This is a hybrid role based out of our London office in Monument, with an expectation to be in the office 2 days per week. Salary Range: £75,000 - £82,000 per annum Role Type: Full-time, Permanent Start date: As soon as possible The Product Owner Role This is a technically minded Product Owner role, working closely with engineering teams and business stakeholders to deliver high-quality, scalable product capabilities. While our platform operates in the insurance space, deep insurance experience is not required - what matters most is your ability to understand complex systems, make sound product decisions, and translate technical and business needs into clear, valuable outcomes. You'll be supported by experienced insurance subject matter experts as you build domain knowledge. You'll own product and technical requirements end-to-end, balancing feature delivery with platform sustainability, performance, and scalability. Using product metrics and close collaboration with stakeholders, you'll help prioritise work that delivers genuine value to customers while supporting Send's growth as a fast scaling Insurtech. If you're a Product Owner who enjoys working on technically complex products, collaborating deeply with engineers, and having real influence over how a platform evolves, this role offers the opportunity to do exactly that - with plenty of room to learn and grow along the way. About Send We are the leading insurance platform, trusted by world class insurers to help them navigate complex risks. Our platform helps commercial insurers, MGAs and reinsurers modernise underwriting, cut friction, and grow profitably in complex markets. We are the only platform purpose built for multi operating models. Our platform combines deep industry expertise with the ability to support a range of strategies and operating models. Our Story: We started Send because insurers had been let down for too long by rigid, legacy technology. The industry was ready to work differently - and so were we. In 2017, our three founders set out with a clear vision: to transform commercial underwriting by combining advanced technology with deep industry expertise. By 2019, we delivered our first commercial and specialty underwriting platform for Aviva GCS, streamlining operations, increasing efficiency, and giving teams the visibility they needed to make faster, better decisions. Over the next six years, we rolled out multiple underwriting platform solutions across the UK and US, proving that modern underwriting technology could be powerful, flexible, and rapidly delivered. In 2022, we won three industry awards and secured a $10m Series A to accelerate our growth. By 2024, Send was recognised as a "Leader" by IDC, Celent, and Datos - a testament to our momentum and our customers' success. In 2025, we doubled in size and deepened our expertise in both the London Market and North America - becoming the only underwriting platform purpose built to support multiple operating models. But we're not finished. Insurers want orchestration, not siloed systems. That's why we continue to invest in our platform and orchestration engine - helping our customers win better business, faster. The Send Team Over the past two years, Send has experienced significant growth, expanding our team by over 50% to more than 120 people. At the start of 2024, our team was primarily based in the UK and Poland. Since then, we've taken major steps toward building a global presence, with team members now located across the UK, US, India, and Ireland-all working collaboratively toward our vision of becoming the market leading software platform for agile insurers. Our Funding From 2017 to 2022, we bootstrapped our growth journey, building a profitable and stable company. In November 2022, following a year of strong customer and team growth, we secured $10 million in Series A funding to accelerate our expansion across the UK and US, as well as to further enhance our product development. We're proud to have the support and expertise of our investors, Mercia and Breega. We are now preparing for our Series B round and are excited about the growth acceleration this will enable. What You'll Be Doing as a Product Owner Technical Product Ownership Make informed decisions on scope, trade offs, and release planning in collaboration with stakeholders and development teams. Monitor product metrics and KPIs to assess value delivery and guide future priorities. Evaluate and prioritise technical debt alongside feature development, balancing short term delivery with long term platform sustainability. Define non functional requirements, with a focus on scalability, performance, and capacity. Assess technical feasibility and complexity of proposed features, including dependencies on platform capabilities, third party services, and system integrations. Participate in technical design reviews and architecture discussions to ensure alignment between business requirements and technical implementation. Conduct impact analysis for proposed changes in collaboration with the development team. Champion engineering best practices, including automated testing strategies, code quality standards, and documenting requirements. Take ownership and accountability for technical and feature requirements. Business Analysis Create comprehensive process flows, use cases, user stories, data models, and system integration specifications. Perform gap analysis between current and future state to identify opportunities for process and system improvements. Translate complex business and technical requirements into clear, testable user stories with well defined acceptance criteria. Validate solutions against business requirements throughout the development lifecycle. Investigate and analyse specialist insurance practices, including underwriting processes, claims handling, rating/pricing, and policy administration. Communicate specialist insurance workflows and business logic clearly to development teams. Stakeholder Management Build and maintain strong relationships with business stakeholders and delivery partners, understanding their needs and managing expectations. Facilitate requirements workshops, backlog refinement sessions, and stakeholder demonstrations. Collaborate with insurance subject matter experts, actuaries, and underwriters to capture specialised knowledge and ensure accurate representation in technical solutions. The Skills and Experience Needed for the Product Owner Role Proven experience as a Product Owner or Senior Business Analyst working within a SaaS or platform led technology environment, ideally in a scale up or complex enterprise setting, with experience working in insurance, financial services, or other regulated industries. Strong ability to own and prioritise product scope, making informed trade offs across features, technical debt, and release planning in collaboration with engineering and business stakeholders. Experience working closely with engineering teams, with the confidence to assess technical feasibility, complexity, dependencies, and non functional requirements including performance, scalability, and reliability. Demonstrated capability in balancing short term delivery with long term platform sustainability, including evaluating and prioritising technical debt. Experience defining and maintaining clear, high quality requirements, including user stories, acceptance criteria, process flows, data models, and system integration specifications. Strong analytical skills, with experience conducting impact analysis, gap analysis, and feasibility assessments to support product and delivery decisions. Ability to translate complex business and technical concepts into clear, actionable requirements that development teams can implement and test effectively. Comfortable participating in technical design reviews and architecture discussions, ensuring alignment between business outcomes and technical implementation. Experience monitoring and using product metrics and KPIs to assess value delivery and inform prioritisation decisions. Strong understanding of Agile delivery practices, including backlog management, refinement sessions, sprint ceremonies, and stakeholder demos. Excellent stakeholder management skills, with experience building trusted relationships, facilitating workshops, and managing expectations across business, technical, and delivery partners. A structured, detail oriented mindset combined with a pragmatic, outcome focused approach to problem solving. What's on Offer - Life at Send Health Insurance - Provided through AXA, covering medical, dental, optical, mental health, and therapies. Employees also have free access to Spill, offering confidential mental health support and therapy. Life Insurance - Covers four times your basic salary, along with Income Protection for up to 36 months at 75% of salary, including rehabilitation support. Pension Scheme - A salary sacrifice pension scheme through Royal London. Send contributes 8%, with a minimum employee contribution of 4%. Time Off - 25 days of annual leave, plus public holidays . click apply for full job details

You'll report to: Liam Longstaff-Pagoni, Senior Talent Partner Team: People Location: This is a hybrid role based out of our London office in Monument. Salary Range: £60,000 - £65,000 per annum Role Type: Full-time, fixed term contract (Initially for 6 months, with the possibility of extension) Start date: As soon as possible The Talent Partner Role This is a critical role in our growth journey, supporting scale both pre- and post-Series B as we build teams across the UK, US and India. As a Talent Partner, you'll work closely with senior leaders to deliver end-to-end hiring for high-impact roles, embed best-in-class recruitment practices, and help evolve a scalable, data-driven talent function fit for our next stage of growth. You'll be joining a fast-moving SaaS scale-up where talent is treated as a strategic priority, and where you'll have genuine ownership, influence, and the opportunity to shape how Send hires as the business matures. About Send We are the leading insurance platform, trusted by world-class insurers to help them navigate complex risks. Our platform helps commercial insurers, MGAs and reinsurers modernise underwriting, cut friction, and grow profitably in complex markets. We are the only platform purpose-built for multi-operating models. Our platform combines deep industry expertise with the ability to support a range of strategies and operating models. Our Story We started Send because insurers had been let down for too long by rigid, legacy technology. The industry was ready to work differently - and so were we. In 2017, our three founders set out with a clear vision: to transform commercial underwriting by combining advanced technology with deep industry expertise. By 2019, we delivered our first commercial and specialty underwriting platform for Aviva GCS, streamlining operations, increasing efficiency, and giving teams the visibility they needed to make faster, better decisions. Over the next six years, we rolled out multiple underwriting platform solutions across the UK and US, proving that modern underwriting technology could be powerful, flexible, and rapidly delivered. In 2022, we won three industry awards and secured a $10m Series A to accelerate our growth. By 2024, Send was recognised as a "Leader" by IDC, Celent, and Datos - a testament to our momentum and our customers' success. In 2025, we doubled in size and deepened our expertise in both the London Market and North America - becoming the only underwriting platform purpose-built to support multiple operating models. But we're not finished. Insurers want orchestration, not siloed systems. That's why we continue to invest in our platform and orchestration engine - helping our customers win better business, faster. The Send Team Over the past two years, Send has experienced significant growth, expanding our team by over 50% to more than 120 people. At the start of 2024, our team was primarily based in the UK and Poland. Since then, we've taken major steps toward building a global presence, with team members now located across the UK, US, India, and Ireland-all working collaboratively toward our vision of becoming the market-leading software platform for agile insurers. Our Funding From 2017 to 2022, we bootstrapped our growth journey, building a profitable and stable company. In November 2022, following a year of strong customer and team growth, we secured $10 million in Series A funding to accelerate our expansion across the UK and US, as well as to further enhance our product development. We're proud to have the support and expertise of our investors, Mercia and Breega. We are now preparing for our Series B round and are excited about the growth acceleration this will enable. What You'll Be Doing as a Talent Partner Own end-to-end recruitment across technical roles (Engineering, Product, Data, DevOps), with additional support across commercial hiring as needed Deliver hiring across the UK, US, and India, navigating different markets, time zones, and hiring models Act as a trusted advisor on role design, market mapping, compensation benchmarking, and interview best practice Drive a high-quality candidate experience from first contact through to offer and onboarding Proactively source and engage top talent, building strong pipelines for current and future hiring needs Own and continuously improve our recruitment processes, ensuring they scale with the business pre- and post-Series B Use Greenhouse as our ATS to manage pipelines, report on hiring metrics, and ensure a data-led approach to recruitment Track and report on key hiring metrics (time to hire, pipeline health, diversity data), using insights to influence decision-making Champion inclusive, fair, and structured hiring practices across all teams The Skills and Experience Needed for the Talent Partner Role Proven experience in a Talent Partner role within a SaaS, technology, and high-growth scale-up environment Strong track record of technical hiring across roles such as Software Engineering, Product, Data, DevOps, or Platform Experience supporting commercial hiring (e.g. Sales, Customer Success, Delivery) Hands on experience hiring across multiple geographies, ideally including UK, US, and/or India Demonstrated ability to partner with senior stakeholders, influencing hiring decisions and acting as a trusted advisor End-to-end recruitment experience, from role scoping and sourcing through to offer management and onboarding Confident sourcing passive candidates using LinkedIn and other direct sourcing methods Experience working with an ATS - Greenhouse experience is a strong advantage Comfortable operating in a fast-paced, evolving environment, where priorities can shift and ownership is key Excellent communication and stakeholder management skills, with the confidence to challenge and advise when needed What's on Offer - Life at Send Health Insurance - Provided through AXA, covering medical, dental, optical, mental health, and therapies. Employees also have free access to Spill, offering confidential mental health support and therapy. Life Insurance - Covers four times your basic salary, along with Income Protection for up to 36 months at 75% of salary, including rehabilitation support. Pension Scheme - A salary sacrifice pension scheme through Royal London. Send contributes 8%, with a minimum employee contribution of 4%. Time Off - 25 days of annual leave, plus public holidays. We also offer volunteering time and a dedicated wellness day. Learning and Development - An annual budget via Learnerbly, providing access to books, courses, conferences, and other resources to support your growth. Check out Send's public Handbook for more information about our product, recruitment process, team, benefits, and much more. Talent Partner Interview Process Stage 1 - Interview with Liam Longstaff-Pagoni, senior Talent Partner (45 minutes) Stage 2 - Interview with Will Sparkes, Chief People Officer (30 minutes) Stage 3 - Interview with Dan Pass, CTO (30 minutes) 30-minute call with a Send Founder At Send, we're focused on strengthening our culture-not hiring people who simply "fit" into it. We believe that a diverse, equitable, and inclusive team drives innovation, creativity, better decision-making, and stronger performance. If you're interested in a role at Send but don't meet every requirement listed, we still encourage you to apply. Research shows that women, Indigenous people, and individuals of colour often hesitate to apply for roles unless they meet every single qualification. We're committed to changing that. We welcome applications from everyone, regardless of background, ethnicity, or culture. We are committed to reviewing all applications fairly and do not discriminate based on race, ethnicity, colour, religion or belief, national origin, sexual orientation, age, marital or civil partnership status, family status, pregnancy or maternity, disability (visible or invisible), gender identity or expression, or any other legally protected status. We know that inclusive hiring is an ongoing journey, and we're always looking to improve. If you have feedback on our hiring or interview process, we'd love to hear it. If you have specific needs or adjustments that would support you during the application process, you can share them in the space provided in your application- we want to ensure your experience is as smooth and comfortable as possible. Need support with your application or have a question about the role? Email us at .

# Our Privacy Statement & Cookie Policy Join a cutting-edge research team working to deliver on the transformation promises of modern AI. We are seeking Machine Learning Research Engineers with the skills and drive to build and conduct experiments with advanced AI systems in an academic environment rich with high-quality data from real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are expanding our strong foundation of research capabilities across different areas and are looking for engineers who participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling, etc.) Data-centric Machine Learning (Synthetic data, curriculum learning, learned data mixtures, etc.) Evaluation (Benchmarking best practices, humans/LLMs as a judge, red teaming/adversarial testing, hallucination detection, etc.)We work collaboratively with TR Labs (TR's applied research division), academic partners at world-leading research institutions, and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As an ML Research Engineer, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to contribute to our proprietary AI model research & development through rapid prototyping, scalable infrastructure, and production-quality implementations, and to research papers in top tier academic conferences and journals. About the role In this opportunity, as an ML Research Engineer you will: Build: You will design and implement robust, scalable systems for training and evaluating large language models. You'll build data pipelines for data-centric research, training infrastructure for instruction fine-tuning (IFT), Direct Preference Optimization (DPO), and reinforcement learning workflows, evaluation frameworks for comprehensive model assessment, and infrastructure for agentic workflows that enables researchers to iterate quickly and effectively. Innovate: You will work at the very cutting edge of AI Research at an institution with some of the richest data sources in the world. Through your work, you will rapidly implement novel research ideas in LLM training, evaluation, agentic systems, and data processing, transforming them into production-ready systems and research publications. You will contribute to advancing the state-of-the-art in data-centric ML by building tools that help us make the best use of our unprecedented data resources. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality implementations that support cutting-edge research. You'll build pipelines for synthetic data generation, automated evaluation systems, training workflows for various fine-tuning approaches, and agent-based workflows that push the boundaries of what's possible with LLMs. Collaborate: Working on a collaborative global team of research engineers and scientists both within Thomson Reuters and our academic partners at world-leading universities. You'll work closely with researchers to understand their needs and translate cutting-edge research papers into practical, scalable implementations. Communicate: Actively engage in sharing technical implementations and best practices with the wider team through code reviews, documentation, technical presentations, and knowledge sharing sessions. Contribute to internal research discussions and stay current with the latest developments in LLM training, evaluation, agentic AI, and data-centric machine learning. About you You're a fit for the role if your background includes: Required qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a relevant discipline (or equivalent practical experience) 3+ years of hands-on experience building ML/NLP/AI systems with strong software engineering practices Demonstrated expertise in building production-quality code and data pipelines for ML systems Proficiency in modern AI development frameworks including: PyTorch, Jax , HuggingFace Transformers, LLM APIs (litellm etc) and vLLM for building and deploying large-scale AI applications Understanding of LLM training methodologies including instruction fine-tuning, preference optimization, and reinforcement learning approaches Strong software engineering skills including version control, testing, CI/CD, and code quality practices Hands-on experience with experiment tracking and orchestration tools such as clearml, Weights & Biases, MLflow. Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask) Excellent communication skills to collaborate with researchers and translate research ideas into robust implementations Self-driven attitude with genuine curiosity about ML research developments Comfortable working in fast-paced, agile environments, managing the uncertainty and ambiguity of genuinely novel researchHelpful qualifications: Track record of ML impact in the form of releases, publications or contributions to open source ML libraries or frameworks (especially in training, evaluation, data processing, or agent systems) Experience building and maintaining ML training infrastructure and data pipelines at scale Extensive experience with LLM training techniques such as instruction fine-tuning (IFT), Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), or other RLHF methods Hands-on experience implementing and scaling supervised fine-tuning, preference learning, and reinforcement learning pipelines for LLMs Experience building LLM evaluation frameworks, benchmarking systems, or automated testing pipelines Hands-on experience with agentic workflows, tool-using AI systems, or multi-agent coordination (examples include: langgraph, AutoGPT, LLamaIndex) Experience with data-centric ML approaches including synthetic data generation, data curation, or curriculum learning pipelines Experience training large-scale models over distributed nodes with cloud tools such as AWS, MS Azure, or Google Cloud Hands-on experience with MLOps, experiment tracking, and model deployment systems Strong interest in staying current with ML research literature and ability to quickly implement novel techniques from academic papers Familiarity with training optimization techniques such as mixed precision training, gradient checkpointing, and efficient attention mechanisms Knowledge of modern ML engineering practices (containerization, orchestration, monitoring)You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known

Overview Principal Consultant - Data Architecture London About Us Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? About Your Role As a Principal Data Architecture Consultant, you act as a senior technical leader in complex data and analytics engagements. You shape and govern end-to-end enterprise data architectures, lead technical teams, and serve as a trusted technical advisor for clients and internal stakeholders. You are responsible for ensuring that enterprise data and analytics solutions are scalable, secure, and production-ready, while translating business requirements into robust technical designs and delivery roadmaps. Your role will include: Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments Translate business objectives into scalable, secure, and compliant data solutions Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement) Guide delivery teams through implementation, rollout, and production readiness Function as senior technical counterpart for client architects, IT leads, and engineering teams Mentor data architects, system architects and engineers and contribute to best practices and reference architectures Support pre-sales and solution design activities from a technical perspective What you bring - required Experience & Seniority 5-8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics Proven experience leading enterprise data architecture workstreams or technical teams Strong client-facing experience in complex enterprise environments Core Data & Analytics Technology Skills Strong expertise in modern data architectures, including: Data Mesh/ Data Fabric/ Data lake / data warehouse architectures Modern Data Architecture design principles Batch and streaming data integration patterns Data Platform, DevOps, deployment and security architectures Analytics and AI enablement architectures Hands-on experience with cloud data platforms, e.g.: Azure, AWS or GCP Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle) Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB) Solid understanding of API-based and event-driven architectures Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc. Engineering & Platform Foundations Experience with data pipelines, orchestration, and automation Familiarity with CI/CD concepts and production-grade deployments Understanding of distributed systems; Docker / Kubernetes is a plus Data Management & Governance Strong understanding of data management and governance principles, including: Data quality, metadata, lineage, master data management Data Management software and tools Security, access control, and compliance considerations Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience Nice to have Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective Experience with streaming platforms (e.g. Kafka, Azure Event Hubs) Hands-on Experience with data governance or metadata tools Cloud, data, or architecture certifications Language & Mobility Very good English skills Willingness to travel for project-related work About your team Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you'll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science. About Infosys Consulting Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey. Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page. Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany's top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row. We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you Apply today!

Overview About Profitero+ Profitero is a leading global SaaS commerce platform that uses predictive intelligence to help brands anticipate, activate and automate their next best action to fuel profitable growth. Our technology monitors 80+ million products daily, across 1200+ retailers and 70+ countries, helping brands optimise search placement, product content, pricing, stock availability, reviews and more. News outlets, including Good Morning America, The Wall Street Journal and Ad Age frequently cite and trust Profitero as a source of data for their stories. Now's an exciting time to join our fast-growth business. Profitero+ joined Publicis Groupe (a $13 billion global marketing services and technology company) as a standalone commerce division, infusing our business with significant product development resources and investment, while giving our employees an incredible launchpad for their careers. Profitero's tech and data combined with Publicis tech, data and activation services positions us to be a true end-to-end partner for helping brands maximise eCommerce market share and profits. Come be a part of our fast-paced, entrepreneurial culture and next stage of growth. Location: London/Reading Role Overview We are seeking a highly skilled and motivated Senior AI Agent Engineer with a strong background in building agentic AI applications and workflows. The ideal candidate will have proven expertise in utilizing Large Language Models (LLMs) such as Claude, OpenAI's GPT series, Google Gemini, and other similar technologies to design, develop, and deploy intelligent systems that can reason, act, and learn. Experience with frameworks like Crew AI, OpenAI Agent SDK, or Langgraph tool set for orchestrating multi-agent systems is highly valued. You will be a key player in our AI team, responsible for driving the technical architecture and implementation of our next-generation AI products, taking AI/LLM models from prototype to production to power Profitero+ products and internal tools. Key Responsibilities Design, develop, and deploy LLM-based systems, agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., LangChain, LangGraph, Crew AI, or similar). Deploy, operate, and iterate on AI systems in production environments, including performance tuning and cost optimization. Design and build Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, and semantic search. Build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration. Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from backend logic to API integrations. Implement testing, evaluation and monitoring strategies for agentic systems to ensure performance, reliability, and safety, and effective reasoning, tool usage, and failure handling. Collaborate closely with product managers, designers, and other engineers to translate requirements into technical solutions. Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products. Contribute to the architecture and technical roadmap of our AI initiatives. Mentor junior engineers and share knowledge within the team. Required Qualifications and Experience Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications. Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks. Hands-on experience in developing applications utilizing Large Language Models (LLMs) such as Claude, OpenAI (GPT-4, etc.), Google Gemini, or other prominent generative AI models. Experience in building agentic applications or workflows, demonstrating an understanding of concepts like planning, memory, tool usage, and multi-agent systems. Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar). Practical experience with RAG architectures, embeddings, vector databases, and semantic search. Experience working with Model Context Protocol (MCP) Servers. Experience with RESTful APIs and integrating external services. Solid understanding of software development best practices, including version control (Git), testing, and CI/CD. Experience with Snowflake is a plus. Excellent problem-solving skills and the ability to work independently and as part of a collaborative team. Strong communication skills, both written and verbal. The above lists are not exhaustive and the job holder is required to undertake such duties as may reasonably be requested within the scope of the post. Why you want to work at Profitero We want our employees to have an opportunity to share in the success that results from our dedication to service excellence, high-quality deliverables and an unparalleled client experience. We hire only the best and provide the compensation, bonus and benefit programs appropriate for proven top-performing professionals. We want our employees to have an opportunity to share in the financial success that results from our dedication to service excellence, high-quality deliverables and an unparalleled client experience. Our package include; competitive base salary; attractive bonus; employee healthcare; life assurance; group income protection; dental care plan; eye care scheme; 24 hour on-line GP; company pension; cycle to work scheme; 25 days off + bank holidays + birthdays off; reduced gym membership; social events; employee referral scheme; personal development plans; Profitero Hero scheme; flexible working hours. Profitero is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive fair consideration for employment. Profitero recruits, employs, trains, compensates and promotes regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected characteristics as required by applicable law. Be part of a company on forefront of eCommerce revolution where you will learn a lot and be a catalyst to turbo-charging your skills, experience and career

Head of Data and AI Engineering Cynergy Bank London (Hybrid: 3 days office / 2 days home) Permanent Leadership Data, AI & Cloud Engineering Shape the future of Data & AI at Cynergy Bank. Join us and make a real impact by helping ambitious businesses and individuals achieve their goals through our award-winning human digital banking model. What's the opportunity? We're looking for a Head of Data and AI Engineering to lead one of our core engineering pillars and drive the delivery of cloud native data platforms and AI powered automation across the bank. This is a high impact leadership role at the centre of our technology transformation, responsible for building the data and AI capabilities that underpin our award winning human digital banking model. In this role, you will lead the teams that build and operate our data pipelines, analytics platforms, and AI driven automation on Google Cloud. You will be accountable for delivering a portfolio of data and AI initiatives, with a strong emphasis on execution, engineering quality, and measurable outcomes. A key part of your remit will be to embed AI into real banking processes, enabling intelligent workflows, decision support, and natural language-based interactions using Gemini and other large language models. You will also shape the engineering standards and practices that govern data engineering, MLOps, and LLMOps across the organisation. You will report to the Director of Engineering and work closely with Architecture, Risk, Compliance, Information Security, and operational teams to ensure the responsible, secure, and compliant deployment of AI throughout the bank. Where You will Work You will enjoy hybrid working, with 3 days in our London office and 2 days from home. Why Join Us? We know the best people want more than just a job. At Cynergy Bank, you will find: Impact: Lead a core engineering pillar delivering platforms and automation that directly influence customer experience, operational performance, and strategic decision making. Growth: A culture that champions curiosity, innovation, and personal growth at every stage. Flexibility: A culture that values work-life balance, supported by our hybrid working model. Rewards: Recognition for your skills and contribution, including annual bonus opportunities and a comprehensive benefits package. How You Will Make an Impact Build and operate cloud native data platforms on Google Cloud, centred on BigQuery. Deliver secure, scalable batch and real time pipelines using Dataflow, Pub/Sub, Cloud Storage, and associated GCP services. Drive the adoption of LLM powered automation and Gemini based solutions across the bank. Implement MLOps and LLMOps best practices on Google Cloud. Embed engineering standards for data quality, monitoring, automation, security, and resiliency. Develop and mentor a team of data and AI engineers, fostering a strong engineering culture. Work closely with partners across the bank to ensure responsible, compliant use of AI technologies. What You Will Bring Proven leadership experience in data engineering or AI engineering teams. Strong background as a senior software or data engineer prior to moving into leadership. Deep hands on experience with Python (or Go/Java/Scala). Demonstrated success delivering cloud native data or AI platforms in production. Extensive experience with Google Cloud Platform, particularly BigQuery, Dataflow, Pub/Sub, and Vertex AI. Experience building automation using LLMs such as Gemini or equivalent. Knowledge of orchestration and transformation tools such as Airflow/Cloud Composer and dbt/SQL based frameworks. Strong understanding of data governance, security controls, and regulatory requirements in financial services. Excellent communication and stakeholder engagement skills. How We Will Support You At Cynergy Bank, we are committed to your wellbeing and success. We know everyone's needs are different, so our benefits are designed to support you at every stage of your career and life. Here is a snapshot of what we offer: A salary and bonus package designed to recognise your skills and contribution 25 - 30 days holiday (with the option to buy 10 more) Award winning pension savings scheme Healthcare, life assurance, and income protection Hybrid working (3 days office, 2 from home) Training and development opportunities Plus, a range of extras including lifestyle discounts, recognition awards, and volunteering initiatives, all designed to keep you supported and thriving. You can explore the full package here: cyergybank.co.uk/about-us/careers/benefits-and-rewards Who Are We? Cynergy Bank is the UK's human digital bank, combining personal service with smart technology to help ambitious businesses and individuals achieve their goals. We know that professional and personal lives often overlap, so our mission is to support customers in all their interdependent banking needs. Since 2018, we have lent over £4bn to scaling businesses and partnered with leading firms to deliver the future of banking. Named Bank of the Year 2025 by MoneyAge, we are recognised for our commitment to customers, innovation, and tailored solutions. This award reflects our team's dedication to delivering exceptional banking experiences, powered by cutting edge technology. Our values shape everything we do: Putting the customer first, Risk front and centre, Opportunity, empowerment and innovation, United team inclusive and diverse, and Doing the right thing. These principles guide our decisions, drive our culture, and ensure the best outcomes for our customers and colleagues. Learn more about us: cyergybank.co.uk/about-us This advert covers the main responsibilities and requirements. A full job description will be shared with shortlisted candidates. If you don't meet every requirement, we still encourage you to apply as we value potential as much as experience. At Cynergy Bank, we use anonymous screening at the first stage of recruitment, ensuring every application is reviewed fairly, based on skills and experience alone. The closing date for applications is Tuesday 24 February 2026. Please note, we may close the advert early if we receive a high volume of applications. Apply now to help shape the future of human digital banking at Cynergy Bank.

About the roleWe're looking for a hands-on AI Engineer to join our Internal Automation team at Lendable and help us make the whole company more efficient.Our mission is to supercharge internal teams - from Finance and Compliance to Product, QA and beyond - by building AI-powered tools, integrations and automated workflows. You'll be part of a small team (4 engineers, 1 PM) with a simple goal: remove friction, automate the tedious, and give colleagues back time to focus on high-value work.This is a role where you'll see the direct impact of what you build. You'll ship an integration and watch it save hours of manual work. You'll build a tool and see a team adopt it the same week. If you're motivated by solving real problems and seeing your work make a tangible difference, this is for you.You'll also be working at the frontier of AI tooling - building with LLMs, experimenting with new approaches, and figuring out what's possible. What you'll be doing Build AI integrations and data sources Create connectors and integrations that make company data available to AI systems (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence and more) Build and maintain knowledge base pipelines, MCP integrations and API connections that power AI tooling across the business Work with security and data governance requirements to ensure integrations are safe and appropriate Enable others to build with AI Support internal teams to create their own AI-powered data sources, automated workflows and internal tools using rapid app builder tools Build templates, guardrails and building blocks that make it easy for non-engineers to experiment safely Contribute to our internal automation platform using tools like AWS Bedrock, n8n and custom-built solutions Deliver measurable impact Work closely with the PM and engineering lead to identify the highest-leverage opportunities Ship quickly, measure outcomes (time saved, errors reduced, adoption) and iterate based on what you learn Stay curious about emerging tools and techniques - and apply them where they'll genuinely move the needle What we're looking for Essential 4+ years of software engineering experience Strong full-stack skills in Python or TypeScript Experience shipping containerised software to Kubernetes Proven experience building AI tooling used by others in a commercial environment Comfortable working with LLMs, embeddings and AI application patterns Experience designing and building API integrations Self-starter who takes ownership end-to-end - from understanding the problem, through design and implementation, to monitoring and iteration Motivated by impact - you want to see your work used and making a difference Nice to have Experience with workflow automation tools (n8n, Zapier, Make or similar) Familiarity with vector databases (Pinecone, Weaviate, pgvector) Experience with AWS Bedrock or other LLM provider APIs Knowledge of MCP (Model Context Protocol) Frontend skills with Next.js or React for internal tooling How you'll work You'll join a small, focused team where you'll have real ownership over what you build. Work comes as problem statements with clear direction from the engineering lead and PM - you'll figure out the "how", design the approach, build it, and make sure it keeps delivering value.We value shipping and learning over perfection. The goal is always to deliver something useful, learn from how it's used, and improve. You won't be directly client-facing, but your work will directly impact colleagues across the business - and you'll hear about it when something you built makes their day easier. See your work make a difference This isn't a team where your code disappears into a monolith. You'll build something on Monday and see it saving someone time by Friday. Every integration and tool you ship has a direct line to company efficiency. High leverage A small team means your contributions have outsized impact. No layers, fast decisions, real ownership. Build new things We're building a platform from the ground up, not maintaining legacy systems. You'll shape how AI gets used across Lendable. Work at the frontier AI tooling is moving fast. You'll work with the latest in agentic AI, workflow orchestration and LLM tooling - applied to real problems, not just proof-of-concepts. Interview process 1. Screening call with Hiring Manager2. Take-home task3. Technical interview based on the task4. Final interview The opportunity to scale up one of the world's most successful fintech companies Best-in-class compensation, including equity You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London

Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. At Socure, we are revolutionizing digital trust by building mission critical systems that deliver high reliability and operate at global scale. As a Manager, Software Engineering, you will be a hands on technical leader who defines direction, raises engineering standards, and delivers measurable product outcomes, all while remaining deeply involved in design and development. This is not a traditional people management or delivery management role-here, you will write code, architect solutions, lead complex projects, and coach engineers to maximize their potential. This role is perfect for leaders seeking high growth, product driven environments, who are passionate about distributed systems, and who want to directly influence the design of secure, scalable, and resilient infrastructure while cultivating top engineering talent. What You'll Do: Architect and design scalable, resilient, high performance backend systems and platforms in AWS, prioritizing reliability, security, and cost efficiency. Contribute hands on to key initiatives-including design reviews, prototyping, coding, performance tuning, and debugging-typically 30% of your time, while mentoring engineers and establishing high standards. Lead cross team technical initiatives; drive design forums, establish engineering guardrails, and ensure high quality delivery via code reviews and automation. Partner closely with Product, Design, Data Science, and Platform teams to define project scope, sequence milestones, and proactively de risk execution for iterative releases. Own design of APIs and microservices, including REST and event driven patterns, and enforce best practices for versioning, contracts, and backward compatibility. Advance operational excellence by defining SLOs, improving observability and alerting, hardening on call procedures and runbooks, and leading incident response and post mortems. Solve complex distributed system challenges (such as throughput, latency, consistency, and data modeling) with pragmatic decision making and balanced tradeoffs. Document architectural decisions, service ownership, and operational runbooks to share knowledge and maintain long term scalability. Foster team growth through clear expectations, actionable feedback, and mentorship; hire, develop, and onboard diverse talent committed to a culture of ownership and collaboration. What You Bring: 10+ years of professional software engineering experience, including ownership of large scale backend systems in production. 3+ years of hands on technical leadership (as Tech Lead or Manager) with a track record of leading complex, cross team projects while contributing to code and design. 5+ years of experience with Golang (preferred) and/or Java, plus strong computer science fundamentals (data structures, concurrency, distributed systems). Deep understanding of AWS cloud native architectures and services (e.g., ECS/EKS, Lambda, OpenSearch, DynamoDB, RDS, S3) and resilience patterns. Proficiency with microservices, API design, and event driven systems, as well as experience with containerization and orchestration (Docker, Kubernetes). Strong operational mindset: expert in observability, monitoring, incident response, performance engineering, and adherence to security best practices. Familiarity with CI/CD pipelines, automated testing strategies (unit, integration, e2e), and modern DevOps workflows; comfortable with Git based trunk/branch strategies. Excellent communication, stakeholder management, and decision making skills; able to clearly frame tradeoffs and drive alignment across engineering and product teams. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly. Follow Us! YouTube LinkedIn X (Twitter) Facebook

Director Solution Consulting UK & I page is loaded Director Solution Consulting UK & Ilocations: United Kingdomtime type: Full timeposted on: Posted 7 Days Agojob requisition id: JR109227Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.# As the Director of Solutions Consulting for UKI , you will play a pivotal role in driving sales success by leading and empowering a high-performing team of Solution Consultants. You'll provide strategic and technical leadership, set a clear vision, and execute a plan aligned with our growth objectives. Partnering closely with Sales Leadership and cross-functional teams across EMEA, you'll ensure Genesys continues to deliver exceptional value to our customers and partners. What You'll Do Lead, coach, and inspire a team of Solution Consultants, fostering a culture of excellence, continuous learning, and customer obsession. Partner with Sales and regional leadership to define and execute go-to-market strategies that align with business priorities and accelerate growth. Guide the team as trusted advisors , providing technical expertise and solution insight throughout the sales cycle to deliver value-driven customer outcomes through consultative engagement, solution design, and value-based storytelling. Ensure customer alignment by helping the team design tailored, data-driven solutions that address specific business challenges and priorities. Strengthen relationships with key customers, partners, and the broader technology ecosystem, representing Genesys as a thought leader at customer engagements, industry events, and conferences. Promote continuous improvement , optimizing processes, tools, and best practices to enhance team efficiency, impact, and alignment with global standards. Champion innovation , partnering with Product Management and Engineering to provide actionable, data-driven insights on customer needs, market trends, and product evolution. Monitor and report on key team performance metrics, sales enablement outcomes, and the business impact of Solution Consulting to executive leadership. Stay ahead of market trends and emerging technologies , ensuring the team maintains strong domain expertise and a competitive advantage. Qualifications Bachelor's degree in a relevant technical field; advanced degree preferred. 10+ years of experience in Solutions Consulting, Technical Sales or related leadership roles. Proven ability to build and manage high-performing teams. Deep understanding of AI, CCaaS, Customer & Employee Experience, and Digital domains. Exceptional communication and data-driven storytelling skills, able to articulate complex concepts to diverse audiences. Strategic thinker with strong problem-solving and innovation mindset. Highly collaborative, working effectively across Sales, Customer Success, Product, and Engineering. Results-oriented, with a focus on measurable impact and performance improvement. Proficient in relevant enterprise software and tools. Results-oriented, with a focus on measurable impact and performance improvement. Proficient in relevant enterprise software and tools. a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase. Join our Talent Community.Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

Overview Ubisense is a company at the forefront of Industry 4.0 and the Industrial Internet-of-Things. We build products that transform physical space into "smart space", enabling software to see, understand and participate in the real world of people and business activities. In so doing, we augment people and objects with new forms of insight and intelligence that make the environments we live and work in more productive, safe and profitable. This unique ability to connect the physical to the digital has been our driving force for more than 18 years and has enabled Fortune 500 manufacturers like Daimler-Benz, Lockheed Martin and John Deere to revolutionise the way they build our cars, the most advanced aircraft and the machinery that grows our food. We are a privately held company with around 60 employees, supporting customers across North America, Europe, UK, Japan and the Middle East. We have ambitious and well-funded growth plans, requiring talented people to help execute on our vision. We are looking for people who are interested in the future, who believe that technology will play a fundamental role in improving the world of tomorrow, and who want to be a part of making that happen. About the role Ubisense delivers solutions based on our SmartSpace and Dimension4 products, providing real-time visibility and control to customers in advanced manufacturing, transit, pharmaceutical, and defence sectors. SmartSpace is a highly configurable software platform targeted at complex problems in IoT and Industry 4.0. Many SmartSpace applications also use our world leading Dimension4 Real Time Location System. The Head of Software Engineering is accountable for building and operating a high-performing engineering organisation that delivers secure, reliable, and maintainable software at pace. This role owns the end-to-end engineering lifecycle-from strategy and architecture to delivery, tooling, and quality-while cultivating engineering excellence and modern DevOps/CI/CD practices. The successful candidate is a hands-on technical leader who can write code, set engineering standards, and lead teams through change. Key Outcomes (12-18 months) Reliable, predictable delivery: Transparent quarterly release train and sprint cadences; measurable improvements on DORA metrics (lead time, deployment frequency, change failure rate, MTTR). Modern delivery pipeline: A robust CI/CD platform with automated build, test, security scanning, and progressive delivery; trunk-based workflows and high-quality code reviews. Fit-for-purpose architecture: Clear architectural runway, reference designs, and decision records (ADRs); reduced complexity and improved scalability. Quality by design: Shift-left testing, high unit/integration test coverage, meaningful end-to-end test automation, and clear quality gates. Engineering culture: Engaged teams with strong craftsmanship, documentation standards, and continuous improvement mindset (SPACE metrics for developer experience). What you will do Strategy and Planning Define the engineering operating model, aligning architecture, delivery, and platform engineering to product goals. Translate business objectives into technical roadmaps, capacity plans and quarterly OKRs. Delivery Ownership Own the what/when/how of engineering delivery: intake, prioritisation, estimation, sprint planning, release readiness. Establish portfolio and release governance with clear stage gates (architecture, security, test, documentation). Architecture and Technical Direction Chair architecture forums; set standards for patterns, APIs, data, and cloud infrastructure; steward ADRs. Ensure systems are observable (logs, metrics, traces) with SLOs and error budgets; lead major incident reviews and blameless post-mortems. Methods, Tooling and Platform Define and evolve SDLC and development methodologies (Agile/Scrum/Kanban, trunk-based development, code review practices). Own the DevOps toolchain (source control, CI/CD, artefact management, IaC, secrets management, environments, test automation, security scanning). Partner with IT on platform reliability, scalability, cost, and resilience. Quality and Security Set quality standards and test strategies (unit, integration, E2E, performance, security); implement coverage targets and defect escape thresholds. Embed secure coding and secure release practices. People Leadership and Organisation Lead architects, developers, testers, and tech authors; nurture craft disciplines and communities of practice. Hire, onboard, mentor, and develop engineering talent; define career ladders, and competencies. Stakeholder Management Work closely with Product, Support, Professional Services, and IT to ensure the roadmap is feasible, valuable, and supportable. Communicate plans, risks, and outcomes concisely to executives and non-technical stakeholders. Financial and Vendor Ecosystem In conjunction with the CIO, manage engineering budgets, cloud/runtime costs, and ROI on tooling. Evaluate and govern vendors (cloud, tooling, testing services). Documentation and Knowledge Ensure clear, current documentation (architecture, APIs, runbooks, user guides) and a robust knowledge base. Establish standards and workflows for Technical Authors integrated with release trains Required Qualifications and Experience Track record of leading engineering at Head of Engineering level (or equivalent). Experience with DevOps/CI/CD (Git, pipelines, artifact repositories), IaC (e.g., Terraform/Bicep), containers/orchestration (Docker/Kubernetes), and cloud platforms (Azure/AWS). Strong command of software architecture (domain-driven design, modular monoliths/microservices, eventing), APIs, and data design. Proven quality leadership: test automation strategies, reliability engineering (SLOs, error budgets), performance engineering. Demonstrated security leadership within engineering: secure coding practices, vulnerability management, SBOMs, suppy-chain security, threat modelling. Expertise in modern Agile delivery (Scrum/Kanban), product collaboration, and scaling patterns (e.g., lightweight portfolio cadence). Nice-to-Have Experience with manufacturing/location-based solutions or industrial interfaces (OPC, MQTT), data streaming, and edge deployment. Familiarity with documentation workflows and tech' authoring standards. Exposure to ITIL-aligned change/release processes and ISO/IEC quality/security frameworks. Qualifications Bachelor's degree in computer science, Engineering, Mathematics, or a related field with a high computing content. Core Competencies Technical leadership: Sets high bars, makes pragmatic decisions, and can deep dive when needed. Delivery excellence: Turns strategy into outcomes, manages trade-offs, and drives predictability. Communication: Explains complex topics to varied audiences; crisp executive updates. People and culture: Builds inclusive, high-trust teams; coaches and multiplies talent. Systems thinking: Optimises end-to-end flow and reliability, not just local focus. Key Performance Indicators (KPIs) DORA: Lead time for changes; Deployment frequency; Change failure rate; MTTR. Quality: Defect escape rate; Test coverage health; Mean time between incidents; Performance SLAs/SLO adherence. Flow and predictability: Throughput, cycle time, on-time delivery vs. plan, WIP limits adherence. Security and compliance: Vulnerability remediation time; dependency hygiene; SBOM coverage; audit readiness. Working Practices and Governance SDLC policies and quality gates are enforced via automation (build, test, scan, deploy) with clear "go/no-go" criteria at each stage. Documentation is a first-class deliverable; releases are accompanied by updated architecture notes, API references, and user guides. Continuous improvement: Regular retrospectives across teams; quarterly engineering reviews; blameless culture. Personal Attributes You manage your time effectively. You are willing to travel occasionally both nationally and internationally.

About the job Do you get excited by tackling engineering challenges that others deem impossible? Do you want to build AI agents that investigate alerts in production workflows? Do you like working in a team with only the absolute best of the best? If your answers are yes, then you should keep reading. About the Role Tracer is building agentic alert investigation for production data pipelines. Teams already have alerts. Tracer investigates pipeline incidents before they page your team, filtering noise, correlating evidence across your stack, and producing an evidence-based RCA for the issues that actually matter. We're hiring a Founding Lead Engineer in London to own core architecture and ship an agent that produces grounded RCAs (and fix suggestions) for a set of high-value alerts. Humans stay in control of production decisions. Tech Stack Python + Langraph (for multi-agentic alert investigation) Rust (because we like systems that are fast and correct) ClickHouse (high-volume event + investigation history at scale) AWS + Terraform (infrastructure that builds itself) Next.js + TypeScript (because front-end should be sexy too) Key Responsibilities Architect and build the core alert, investigation, root cause analysis (RCA) pipeline in Python Design and implement key systems including: Alert ingestion + normalization Context enrichment + correlation Problem framing outputs Hypothesis orchestration engine Investigation execution runtime Investigation artifacts + reporting Drive core architecture decisions and ensure the system is observable, auditable, and reliable from day one Partner with founders to ship a small set of high-value alert types that work extremely well, then expand coverage deliberately Build customer ready integrations across the pipeline stack Educate and guide future engineers, setting a high bar for technical quality, speed, and pragmatism What We Are Looking For 5+ years (ideally 10+) professional software engineering experience. Proven track record of shipping real products at high velocity. Strong backend and distributed systems foundations, ideally with experience in data platforms and production pipeline stacks and incident/observability tooling. Experience working at an early stage startup and bonus points for having joined earlier. High ownership and sharp product instincts: you build what matters and cut what doesn't. Compensation Salary: £80,000 - £125,000 Equity: Determined on a case by case basis depending on skill and experience level (0.3%-1%) Visa sponsorship: Yes Location: London Recruitment Process Introductory Call (15-30 mins): Call with our hiring manager to discuss your background, motivations, and learn more about Tracer Role Fit Interview (45 mins): Meet with your manager or a similar level team member to review your working style, skills, and fit for the role Take home & Competency Deep Dive (1 hour): Complete a practical exercise (e.g., case study, presentation, or technical problem solving) to explore the role's responsibilities and expectations On site meetup (Half Day): On site interviews and team lunch at our headquarters to ask any questions and experience our office and culture firsthand Offer: Final decision and offer

SII Group delivers Digital Services, IT, Engineering, and Consulting to diverse industries, enabling digital transformation through our commitment to Growth, People, and CSR. With over 16,000 professionals across 21 countries, we're recognised as a "Great Place to Work" for fostering a high-trust culture. Our core values of Trust, Transparency, and Quality drive our work package delivery, ensuring we meet and exceed client expectations as a committed partner. Since 2016, SII UK has supported top Aerospace & Defence, Aviation, Transportation, and Finance clients, empowering digital transformation with industry-leading engineering expertise. Let's Tech Together is our promise to encourage innovation and teamwork. We support our engineers with development opportunities and a collaborative, inclusive environment where every voice is valued and empowered. 'sTechTogether THE OPPORTUNITY We are seeking a highly experienced Senior Software Engineer with professional experience to join our team delivering large-scale, distributed, and safety-critical software systems. This role is ideal for an engineer who thrives in complex environments, values engineering rigour, and enjoys working across the full software lifecycle. You will play a key role in the design, development, integration, and assurance of high-integrity software, working closely with architects, project management, and wider engineering teams to ensure delivery against cost, quality, and schedule. KEY RESPONSIBILITIES: Design and develop distributed systems using C/C++ and Java Deliver software across the full lifecycle, from design to deployment Develop and debug software on Linux and Windows targets Apply high-integrity coding practices, including unit testing and static analysis Support software safety activities, including Software FMEA and safety compliance Produce clear, accurate technical documentation Contribute to CI/CD pipelines, build systems, and configuration management Collaborate with architects, project management, and engineering teams to deliver to cost, quality, and schedule. ESSENTIAL SKILLS & EXPERIENCE: Strong experience in C/C++ and Java Experience with Linux-based development Knowledge of software architectures and TCP/IP networking Unit and wider software testing Static analysis and secure/high-integrity coding standards (e.g. MISRA, JSF , AUTOSAR) CI/CD tools (e.g. Jenkins, Git) Containers and orchestration (Docker, Kubernetes) This role requires SC clearance (UK Eyes Only). DESIRABLE SKILLS: UML modelling and software design tools (e.g. Rhapsody, Enterprise Architect) Model-driven development and MATLAB/Simulink DevOps, Infrastructure as Code (e.g. Ansible), and GPU programming Software assurance, SBOM tooling, and cyber security awareness BENEFITS: Competitive Basic Salary 6% Employers Contribution + 6% as a salary sacrifice Private Medical Insurance, Life Cover and Income Protection 25 days holiday 10 days full sick pay per year Cycle to Work & TechScheme Corporate access to the Udemy platform If you're applying for a role requiring security clearance, please be aware that foreign or dual nationality is not an automatic bar, however certain posts may have restrictions which could affect those who do not have sole British nationality or who have personal connections with certain countries outside the UK. Software Integration & Verification Engineer SII Services Limited Cody Technology Park Ively Road Farnborough GU14 0LX

We recognise our people are the best thing about Red Badger and that a truly diverse workplace where people are free to be themselves is essential for great culture and great outcomes. If you like solving difficult problems, working with great people and making a real impact, join us and become a Badger. At Red Badger, our purpose is to make a positive impact on the world around us. Our mission is to transform blue-chips into next generation digital product organisations. We believe in creating opportunities for all. We benefit from diversity. That said, we're far from perfect - we want to be more diverse and representative. Join us and help make that happen. The best bit about Red Badger is, of course, the team. We've been around for 12+ years now and we are over 100 strong. We are really proud of our people; we support and learn a lot from each other; we work really hard but have fun doing it. We are a diverse group made up of 22 different nationalities, speaking 17 different languages. Our 3 founders, Dave, Cain and Stu, who have considerable tech and consultancy experience and still own 100% of the company. We've been consistently profitable and have grown responsibly from the beginning. We are based at Old Street in the heart of "tech city" and get thoroughly stuck in with the brilliant community around us. We run several meetups including the hugely popular React London, invite other groups to host their events in our office such as Lua London and Ladies Who Code and speak at events like Digital Shoreditch and LNUG. The Role We're looking for a Senior Software Engineer to join our digital product delivery function. Red Badger builds high-quality digital products using a lean delivery process and multidisciplinary, cross-functional teams. The work we do for our clients involves dealing with the core complexities of their business and the technology we employ varies from project to project. You will be a polyglot with extensive experience across a wide range of technologies and projects and will relish tackling and solving tough problems, digging deeper into areas you already know as well as expanding your skills into different languages, technologies and practices. You'll be comfortable designing and articulating solutions, working closely with clients to ensure we're delivering the right thing in the right way. You will lead by example; getting your hands dirty in the code, inspiring your peers & educating our clients. You are passionate about the craft of software development and contribute to technical and non-technical discussions that help shape the direction of digital product delivery. You are able to work independently, as well as collaboratively, on user stories within an agile delivery environment and are versed in modern software delivery practices. You care about creating quality software that meets the needs of our client's vision and goals, in a thoughtfully pragmatic way. As well as contributing to production-grade code bases, you will also be proactive in working directly with the client to help shape and move the project forward and, where required, helping to up-skill and embed good development practices within existing, newly formed or client/Badger blended cross-functional teams. Key Responsibilities Providing engineering expertise and experience as a member of a cross functional delivery team, working alongside other engineers, designers, QA, delivery lead and a tech lead Employ modern development practices to ship high-quality software Ability to adapt to new languages and frameworks Choosing the right technology for the job, striving for simplicity Starting or continuing your journey as a line-manager Coach & support peers Providing support for digital products once they are live (depending on client needs) Agile Ways of Working Pair programming with other members of the team, including designers and QAs Own the delivery of user stories end-to-end, working with agile principles Leading and supporting your peers in technical decisions Be an advocate for lean software development, building for what is required now Help break large deliverables into small, lean incremental user stories Actively contribute to agile ceremonies Consulting with clients Proactively engage with clients to shape and move the project forward, including giving updates on the delivery progress and highlighting potential technical blockers Upskilling and embedding modern software practices in client teams where necessary Your experience It'd be great if you have experience with: Backend technologies (e.g. Node.js, Go, Rust, etc.) Relational and Non-relational databases (e.g. ElasticSearch, Redis, PostgreSQL, etc.) System architecture approaches (e.g. microservices, event sourcing, serverless, CQRS ) Virtualisation and orchestration tools (e.g. VMs, Docker, Kubernetes, etc.) and infrastructure as code (e.g. Terraform, Pulumi) Test automation following Test Driven Development practices including unit testing, API testing, and end-to-end testing Working with lean and agile practices (e.g. Kanban, Scrum, etc.) Collaborating in cross-functional teams It'd be amazing if you can also: Make use of modern UI data layer technologies (i.e. Relay, GraphQL, Apollo, etc.) Design, build, debug and help contribute to evolving cloud based architectures following Everything-as-Code principles Design an agile release engineering strategy that delivers value incrementally and continuously Support a highly-available live production system, respond to alerts, diagnose problems using logs and observability tooling, triage and resolve incidents What we offer We make sure our team is well looked after with generous salaries and a great benefits package which includes: Enhanced pension with employer contribution of up to 5% of your salary Group Life Insurance Critical Illness Cover Private Medical Insurance Your choice of hardware and mobile phone £1,000 home-office set up budget and contribution to home broadband Matched (pre-tax) charity GAYE donations Cycle to work Enhanced parental leave Diversity & Inclusion: Red Badger is committed to creating a diverse and inclusive environment, and is proud to be an equal opportunity employer. We hire, employ, train, promote and compensate regardless of gender, gender identity, race, disability, sexual orientation, age, creed and colour. We are fully focused on equality, and it is our fundamental belief that the fascinating characteristics that make us all different enable us to continue to do amazing work for our clients. Create a Job Alert Interested in building your career at Red Badger? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Employee Benefits We make sure our team is well looked after with generous salaries and a great benefits package which includes: Most execs know the effect Customer Experience (CX) has on their business' performance. As Rory Sutherland recently put it 'A business focussed on customers will delight its London, UK - Red Badger, a leading digital consultancy, today announced a new partnership with Civo, the company reimagining cloud computing. Civo is a pioneering cloud service We are thrilled to announce an exciting new partnership between Red Badger and Tuum, a leading provider of next-generation core banking platforms. This collaboration brings We respect and care for each other and strive for a truly diverse workplace where everyone has the freedom to be their authentic selves and feel safe. We're part of the Stonewall Diversity Champion programme to continuously develop structured and systematic policies and practices that reflect our world. In addition to supporting the LGBTQ+ community, we're focused on applying what we learn to all areas of equality including ethnicity, gender, disability and social mobility. 4th Floor, 2 Old Street Yard, London EC1Y 8AF

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground breaking, ultra secure, high performance, cloud based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a 'One to Watch' on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work. As Managing Architect, you will be passionate about digital, data and technology led transformation, unlocking innovation for our clients, and providing leadership throughout the client engagements. The applicant who possesses knowledge and experience of Public Sector (Central Government) and understands their governance and security processes, preferably across multiple government departments, is strongly preferred. A UK Government Security Check (SC) clearance is required for this role. If you don't hold SC clearance, we will support you to apply assuming you have lived and worked in the UK for a minimum of 5 years. Due to the nature of the projects, British citizenship is required. Duties & Responsibilities Aker Managing Architect is primarily a client delivery, management, and growth role, expected to be 90% or more of the time across one or more client assignments. Technical Leadership: Part of the client leadership team as the Client CTO for assigned projects/services, supporting the Client Delivery Director, Client Account Director and the delivery team to ensure we deliver against all client deliverables and payment milestones. Lead Architect: Lead solution, data, cloud, service and security architects/engineers during design and delivery projects and services, and responsible for delivering design documents and other key artefacts to support governance and delivery. Senior Influencer: Need to be a leader and able to influence through excellent communication skills. You will relish collaboration and embrace challenges. You will understand the nuances of business and be driven to find new solutions for our clients' biggest problems. Team Focused: Expected to build effective working relationships with delivery team members and Aker customers and operate without supervision as the technical lead across multiple projects and platforms and mentoring less experienced client team members as required. Capability and Growth: Aker is a fast growing business, so for any remaining % of time when not on client work, it is contributing to the future success of Aker by helping develop capabilities and supporting the other functions such as Sales and Product, and always looking to help grow existing accounts. Essential Experience and Competencies The successful candidate will need to have experience as a lead or managing architect across these core areas: Delivery - designing, delivering platforms and managed services at enterprise scale, specifically bespoke software solutions, particularly in streaming and cloud native solutions. Data Platforms - designing modern data platforms with appropriate architecture covering Data Mesh, Data Fabric, Data Lake etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps centric approach Security - having worked in sensitive data environments and ideally have experience facing off to cyber security specialists. The successful candidate will meet all of the following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi disciplined team and clearly communicating complex technology solutions to technical and non technical people Experience designing event processing and async messaging architectures Experience applying latest technologies to solve complex problems and to develop innovative data and analytical solutions Working knowledge of cloud orchestration and containerisation technologies, such as Docker and Kubernetes Working knowledge of DevOps, CI/CD and Infrastructure as Code Understanding of NCSC Cloud Security Principles and its practical implementations Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Equality, Diversity & Inclusion Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.

We help people achieve a better later life. That's our purpose and it's the reason we exist. We are a fast-growing FTSE 250 company helping customers enjoy the retirement they deserve. We do this through a variety of market leading, award-winning products and services, delivered by a diverse team of over 1,400 purpose-led colleagues who genuinely put the customer at the heart of everything we do. This is a brilliant time to join our business. We are on an exciting growth journey to become the UK's most loved retirement expert. The Role We're looking for a Senior Software Engineer to join one of our multidisciplinary, cross-functional, lean delivery squads, focused on rapidly delivering value to our customers through our mobile app and website. Our ideal candidate will have extensive experience across different technologies and projects, combined with a desire to keep growing their skills - learning new languages, technologies and practices, solving tough problems and mastering areas you already know. You'll be comfortable designing and articulating solutions, working closely with product managers and other colleagues to ensure we're delivering the right thing in the right way. You will lead by example; getting your hands dirty in the code, inspiring your peers & helping to educate your stakeholders. You are passionate about the craft of software development and contribute to technical and non-technical discussions that help shape the direction of digital product delivery. You are able to work independently, as well as collaboratively, on user stories within an agile delivery environment and are versed in modern software delivery practices. You care about creating quality software that delivers value to consumers, in a thoughtfully pragmatic way. As well as contributing to production-grade code bases, you will also be keen to help shape the vision for the product, happy to mentor and upskill colleagues Key Responsibilities Providing engineering expertise and experience as a member of a cross functional delivery team, working alongside other engineers, designers, QA, delivery lead and a tech lead Employ modern development practices to ship high-quality software Ability to adapt to new languages and frameworks Choosing the right technology for the job, striving for simplicity Providing support for digital products once they are live Pair programming with other members of the team, including designers and QAs Own the delivery of user stories end-to-end, working within agile principles Be an advocate for lean software development, building for what is required now Help break large deliverables into small, lean incremental user stories Actively contribute to agile ceremonies Working collaboratively with other engineers within Just to advance our practice across product squads. Your Experience Web/mobile development languages (Typescript, Tailwind and a good understanding of underlying HTML, CSS). Databases (Mongo) Virtualisation and orchestration tools (Kubernetes, Docker) Infrastructure as code (Terraform) CI/CD pipelines (Github Actions, Azure pipelines) Test automation following Test Driven Development Practices including Unit, Integration and end-to-end testing Supporting a highly-available production system, diagnosing issues raised from logs and observability tooling (Dynatrace), triage and resolution. Company Benefits A Competitive Salary, Pension Scheme and Life Assurance Along with 25 Days Annual Leave plus an Additional Day on us for your Birthday Private Medical Cover and Income Protection, just in case A generous and highly achievable bonus scheme - paid annually based on individual and company performance against targets Opportunity to progress within your career both in-role and within the company FREE access to the Headspace App, a 24/7 Employee Assistance Helpline and Trained Physical & Mental Health First Aiders (On-Site) A variety of Employee Funded Benefits available to you via our Online Benefits Portal Plus, several additional purchase options available for you and your loved ones Why Just? At Just you'll have the opportunity to develop your career, whilst making a difference to the lives of those around you. You'll be part of a company with a strong and distinctive culture - we're ambitious, curious and collaborative - and every decision we make centres around being Just and delivering the best outcomes for our customers. We're committed to building a more sustainable business, and we're working hard to make progress against our Net Zero targets . We're reducing our reliance on fossil fuels in our offices, switching to more sustainable sources of energy and we're investing more of our money in green and social assets. Valuing diversity of thought and fostering a sense of belonging is critical to our business success, driving innovation and balanced decision making. Our work on DEIB (Diversity, Equity, Inclusion and Belonging) aims to deliver a brilliant employee experience underpinned by a sense of belonging, where our people feel proud to work at Just. We remain committed to our publicly disclosed HM Treasury Women in Finance Charter and Race at Work Charter targets and support a wide range of employee network and events, championing issues including intergenerational working, social mobility and neurodiversity.