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Verve is a cashback and rewards platform that connects consumers, brands, and financial partners through a single API. We power loyalty programmes for fintech and banking clients while giving consumers access to cashback offers and gift card rewards directly through the Verve app. Part of Quantum Financial Holdings Group, we serve three audiences: Consumers earning cashback and rewards on everyday spend; Brands using our platform to drive customer acquisition and retention through targeted incentives; and Strategic Partners (fintechs and banks) who integrate Verve's API to power or enhance their own loyalty propositions. We closed 2025 with strong growth across our core KPIs and have a significant partnership with a globally-recognised brand launching imminently. As a result, we have created a new permanent role of Technical Lead to ensure Verve’s platform runs smoothly and evolves at pace with the organisation’s strategy and commercial ambition. The role We're a small, productive team with a vibrant start-up culture, and we're looking for a seasoned Technical Lead to own the architecture, delivery, and evolution of our cashback rewards platform. This is a hands-on leadership role for someone who thrives at the intersection of engineering excellence, product thinking, and scalable fintech infrastructure. You'll lead a cross-functional engineering team, shape the technical roadmap, and ensure the platform stays robust, secure, and performant as we scale. We're looking for an action-oriented pragmatist, someone with a strong sense of ownership who makes sound decisions with imperfect information and is comfortable with the ambiguity that comes with a start-up. You'll translate technical complexity into business impact, challenge ideas constructively, and build trust through transparency and accountability. Low ego, high standards; resilient under pressure and genuinely invested in building products that deliver real value to users. Job Specification Reporting to the Group CTO with a dotted line to the Managing Director, the Technical Lead role will be responsible for: • A scalable, resilient cashback/rewards platform capable of handling high-volume transaction flows;, • A motivated engineering team delivering high-quality features with confidence;, • Clear architectural direction and well-maintained technical documentation; and, • Strong collaboration and support of product, data, operational and commercial teams. Further details on responsibilities: • Own and evolve the end-to-end technical design of our cashback rewards SaaS platform, defining architecture across microservices, data pipelines, and event-driven components, • Lead design reviews, code quality initiatives, and engineering best practices; ensure platform scalability, reliability, and observability across all services, • Mentor engineers, foster a culture of ownership, and drive continuous improvement whilst championing engineering excellence, documentation, and operational readiness, • Collaborate with product, data, operations, and commercial teams to translate business requirements into technical roadmaps and delivery plans, leading sprint planning, estimation, and release management within an Agile/TDD SDLC, • Scope, implement, and maintain software components and modules; manage third-party integrations including Tillo, Truelayer, and Open Banking providers, • Ensure compliance with financial‑grade security, auditability, and data governance Hands-on Engineering • Build and maintain core backend services using Python, Django, and PostgreSQL, • Architect and optimise asynchronous workloads using Celery, Flower, and RabbitMQ, • Design and implement secure, high-throughput APIS and data models, • Oversee deployment pipelines and cloud infrastructure on AWS (e.g., ECS/EKS, Lambda, SQS/SNS, RDS, S3, CloudWatch) Domain Expertise – Cashback & Rewards • Translate cashback, merchant-funded offers, and rewards logic into scalable technical solutions, • Work closely with product, data, operations and partnerships teams to implement: transaction ingestion and enrichment; reward calculation engines; offer eligibility rules; and settlement and reconciliation workflows. Required hard and soft skills, experience: • Demonstrable professional engineering experience building SaaS platforms at scale, • Deep expertise in: Python and Django; PostgreSQL (Schema design, Performance Tuning, Migration); Celery, Flower, RabbitMQ; AWS services (cloud compute, storage, networking, monitoring); and Linux OS, scripting, • Proven experience with Stored Procedures, Common Table Expressions, Window Functions, Partitioning and other advanced RDBMS tasks, • Track record of designing distributed systems and asynchronous architectures, • Strong understanding of secure coding, API design, and cloud-native patterns, • History of leading engineering teams or acting as a senior technical authority, with a proven track record of successful software implementations in Financial Services, • Strong verbal and written communication skills; able to translate complex technical concepts clearly for both technical and non-technical stakeholders, • High attention to detail with strong organisational and time-management abilities, • Comfortable working autonomously and collaboratively; proactive, adaptable, and able to manage multiple priorities in a fast-paced environment Desired skills and experience: • Background in fintech, payments, card-linked offers, or rewards ecosystems, • Experience with event streaming (Kafka, Kinesis), • Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI Runners), • Knowledge of data warehousing or analytics pipelines, • Experience in big data integration / previous work with TBs of data, • BS or MS in Computer Science, Applied Mathematics, Statistics, or area of study related to data sciences and data mining or similar Benefits to include: • Competitive salary, • 25 days holiday plus bank holidays, • Private health insurance, • Hybrid working (Belgravia) Necessary but slightly less exciting bits: • Right to work in the UK, • Upon successful application, candidates will undergo a DBS check or equivalent, • Successful completion of a 6-month probationary period, • Adheres to all company policies and procedures In advance, we apologise as we may not be able to respond to every candidate; however, appreciate your interest. No recruiters please; CVs will be ignored if they are not from the candidate directly.

Circadia Health is a growth‑stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior‑care operations. Our Circadia Intelligence Platform combines: • Contactless sensing that monitors respiration and motion with medical‑grade accuracy, • Predictive analytics & agentic AI workflows that detect 85 % of preventable rehospitalizations ~11 days in advance, • Enterprise integrations that embed insights directly into EHR, care‑coordination, billing, and compliance systems Today our technology touches 40,000+ post‑acute patients daily across skilled‑nursing, home‑health, and home‑care networks. We are backed by leading healthcare and AI investors like Khosla Ventures, Village Global, Headline, Eric Yuan (CEO of Zoom), and others. Position Overview As an ML Ops Engineer at Circadia Health, you will own the infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams to ensure models are reliably trained, versioned, deployed, and monitored in both cloud and edge environments. You will be a key driver in elevating Circadia's ML practice – from reproducibility and experiment tracking to CI/CD for models and operational observability. This is a high-ownership role at a lean company where production reliability, rapid iteration, and pragmatic engineering are essential. Your work will directly impact patient outcomes by ensuring our predictive models are always running, always accurate, and always improving. Key Responsibilities ML Pipeline Orchestration & Automation • Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows., • Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments., • Implement pipeline monitoring, alerting, and failure recovery to eliminate silent failures and ensure operational reliability., • Deploy and manage ML models on AWS infrastructure (e.g. AWS Batch for batch inference workloads)., • Support deployment of models to edge devices, including Circadia’s clinical monitoring hardware, working with firmware and embedded engineering teams as needed., • Manage model versioning, promotion, and rollback workflows through the MLflow model registry., • Maintain and improve the MLflow-based experiment tracking and model registry infrastructure., • Establish conventions for experiment logging, artifact storage, model metadata, and lineage tracking., • Implement and maintain training data versioning and dataset management practices to ensure reproducibility of model training runs., • Track dataset lineage, labeling provenance, and feature dependencies alongside model versions., • Build monitoring systems for model performance in production, including data drift detection, prediction quality tracking, and alerting on degradation., • Implement operational dashboards for pipeline health, compute utilisation, and deployment status., • Collaborate with data engineering to ensure upstream data quality and pipeline reliability for ML feature inputs., • Manage and optimise AWS compute resources (Batch, EC2, or similar) used for model training and inference., • Design infrastructure-as-code solutions for reproducible ML environments., • Drive cost optimisation across ML compute, storage, and data transfer., • Introduce and champion ML engineering best practices including CI/CD for models, automated testing for ML pipelines, and reproducible training workflows., • Build internal tooling and templates that accelerate the ML development-to-production cycle., • Document operational processes, architecture decisions, and onboarding materials for the ML platform., • Ensure all ML pipelines and infrastructure meet healthcare security and privacy requirements, including HIPAA and SOC 2., • Apply best practices for handling Protected Health Information (PHI) in training data, model artifacts, and inference outputs., • Maintain audit trails for model decisions, data access, and deployment history. Attributes Required Qualifications • 4+ years of experience in MLOps, ML Engineering, DevOps, or a closely related infrastructure role., • Strong proficiency in Python for ML pipeline development, tooling, and automation., • Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow., • Experience with model registries and experiment tracking platforms (MLflow preferred)., • Experience deploying and operating ML workloads on AWS (Batch, EC2, S3, IAM, CloudWatch)., • Solid understanding of the ML lifecycle: training, evaluation, deployment, monitoring, and retraining., • Experience with containerisation (Docker) and infrastructure-as-code., • Proficiency with Git and version control workflows., • Familiarity with SQL and data warehousing platforms (Snowflake preferred)., • Experience implementing monitoring, logging, and alerting for production systems., • Strong debugging and incident response skills for complex distributed systems. Preferred Qualifications • Experience deploying models to edge or embedded devices., • Background in healthcare, medical devices, or clinical data systems., • Familiarity with model serving frameworks (e.g., TorchServe, TF Serving, Triton, or custom solutions)., • Experience with CI/CD systems for ML (e.g., GitHub Actions, Jenkins, or similar)., • Experience with data versioning tools (e.g., DVC, LakeFS, or similar)., • Experience supporting data science or ML research teams in a production context., • Exposure to HIPAA compliance and healthcare security best practices., • Experience with distributed compute frameworks (e.g. Apache Spark, Dask) for large-scale data processing., • Experience with streaming or real-time inference architectures. What You Bring • You take ownership of ML infrastructure end-to-end — from training pipelines to production monitoring., • You care deeply about reliability, reproducibility, and operational excellence in ML systems., • You have strong opinions (loosely held) on how to build a great ML platform, and you’re eager to put them into practice., • You are comfortable working in a startup environment where you’ll wear multiple hats and move fast., • You communicate clearly across engineering, data science, and clinical teams., • You’re motivated by building technology that directly improves patient care. Why Circadia Health Circadia Health is redefining patient monitoring through contactless sensing and AI-driven clinical insights. As we scale from tens of thousands to hundreds of thousands of monitored patients, our data infrastructure is central to everything we do. You’ll have the opportunity to: • Work on real-world healthcare problems with measurable patient impact, • Build data systems that power clinical-grade AI and ML, • Take ownership in a fast-growing, mission-driven company, • Collaborate with a highly skilled, multidisciplinary team.

Who We Are: IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. It powers growth of revenues, fanbases and IP for more than 200 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company. TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. This role is being hired into Cingularity a division of IMG Studios who are specialists in bespoke live video networking and production solutions. Cingularity operate at each stage of the remote production workflow, delivering quality network designs and primary distribution services to premium broadcast networks and sports rights holders globally. Please follow this link to understand more about Cingularity’s work: ___ IMG acquired Cingularity in September 2022 to provide the expertise to guide IMG’s remote production evolution toward a hybrid model of fibre, satellite, cloud and IP. IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. Working Conditions: Permanent, London, Spitalfields, London, United Kingdom Hybrid Mon-Fri, 9am-5pm What You'll Do: The Senior Network Engineer (NetOps) at Cingularity is a pivotal role demanding technical expertise and innovative thinking. As a core member of our engineering team, you will be responsible for designing, building, and maintaining the complex infrastructure that powers our mission-critical transmission systems. This position is designed for an engineer who can bridge the gap between traditional networking methodologies and modern NetOps practices. You will take ownership of our core networking infrastructure—including a specialised DTM (Dynamic Synchronous Transfer Mode) network—while strategically introducing automation to enhance resilience and performance. While you will assist with the development of observability tools, 24/7 monitoring is managed by our Technical Operations Centre (TOC), supported by a joint effort between Systems, Broadcast, and Network Engineering teams. Global Telemetry & Network Management • Core Routing & Switching: Design and operate distributed systems with an advanced understanding of OSPF and BGP., • Multicast Routing: Maintain a solid understanding of Multicast routing to ensure efficient data delivery across broadcast environments., • DTM Specialisation: Take primary responsibility for the management and optimisation of the DTM network, ensuring it meets the rigorous demands of live broadcast., • Global Telemetry: Manage and refine a global telemetry network to ensure consistent data flow and visibility across all international transmission points., • Capacity Planning: Manage network capacity and advise on hardware/bandwidth upgrades triggered by business growth and specific customer projects., • Infrastructure Security: Take ownership of network security, implementing best practices for access control and protection across the entire ecosystem., • Firmware & Lifecycle Management: Manage and execute regular firmware upgrades, patching, and maintenance across all network hardware to ensure stability and mitigate vulnerabilities., • Internal Tooling: Build and refine monitoring techniques where the primary "customers" are our internal TOC and Event Engineering teams., • Observability Design: Utilise and assist in the development of modern monitoring and logging systems (e.g., Prometheus, Grafana, ELK/OpenSearch) and the Netbox source of truth., • Automation Development: Implement automation strategies for infrastructure management using tools such as Ansible, Python, and shell scripting., • Level 3 Troubleshooting: Proactively monitor performance and serve as a level 3 escalation point for complex networking issues, • Team Guidance: Mentor and collaborate with technology teams on engineering projects and the resolution of high-level technical issues., • Training: Assist engineers in learning networking concepts and the specific architecture of the Cingularity network., • Project Delivery: Lead technical network projects from concept to deployment, meeting schedules and budget constraints. You Have These: Required • Networking Expertise: Advanced knowledge of the TCP/IP Stack, including switching and routing protocols (OSPF, BGP)., • Network Security: Proven experience in securing network infrastructure and managing hardware firmware lifecycles., • Multicast Routing: Practical experience with Multicast protocols in a production environment., • Automation: Demonstrable experience using Python and Ansible for automation, scripting, and integration., • IPAM/DCIM: Experience using Netbox for infrastructure documentation and management., • Monitoring: Practical experience with modern observability tools like Grafana, ELK, and InfluxDB. Advantageous • Advanced Broadcast Standards: Knowledge of SMPTE ST 2110 networks and related timing/synchronisation requirements., • Legacy & Specialised Transport: Direct experience with DTM (Dynamic Synchronous Transfer Mode) or ATM technologies., • Version Control: Experience using GitHub for managing automation scripts and configuration., • Broadcast Protocols: Understanding of real-time transport protocols (RTP, UDP, SRT, Zixi) and video encoding (AVC, HEVC, JPEG-XS)., • Project Management: Experience with tools such as ClickUp, Monday.com, or Jira. Soft Skills • Communication: The ability to clearly articulate complex technical concepts to both technical and non-technical stakeholders., • Focus Under Pressure: The ability to remain focused under pressure and maintain the highest standards of accuracy in a live environment., • Proactive Mindset: An organised and self-motivated individual who proactively seeks innovative solutions. TKO EEO Statement: TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee’s or applicant’s race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our ___. For information regarding Terms of Use for this and other TKO websites, please review our ___

API Automation Engineer Hybrid Working – London – 2 days a week on site. Financial Services Lorien's leading banking client is looking for a skilled API Automation Engineer with strong experience of with Rest API testing in Java to join our London-based team. The ideal candidate would have experience of working with Cloud Technologies and Streams-process platforms. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 2 days a week on site. Key Skills and Experience • Rest API automation testing in Java, • Java library and framework: Lombok, Spring Boot, • Stub testing experience: yaml, wiremock or Mockito, SOAP API testing, • Programming languages experience in OOP: Java or C#, • tools used: Cucumber Gherkin, Postman (Bruno), Junit:, • CI/CD integration with Gitlab/Jenkins, • Git version control: Gitlab/GitHub, • experience in JIRA or any issue tracking system, • Agile methodologies and exposure to BDD methods, • Banking/Financial services domains experience Highly Desirable Experienced with any of the following: • Cloud technologies AWS modules: CloudWatch (logging), Athena, EC2, Lambda, storage (S3, EBS), databases (RDS, DynamoDB), • stream-processing platform: Kafka, webhook, protos, • Docker and Kubernetes (nice to have), • IND_PC3

Reed.co.uk is looking for an Analytics Engineer to join their Insights Team in Holborn, London. Job Description Reed.co.uk is looking for an Analytics Engineer to join their Insights Team in Holborn, London. Salary: £55,000 - £65,000 per annum Overview At Reed.co.uk, we believe the world should Love Mondays. We’re looking for an Analytics Engineer to help scale our modern data platform and enable high-quality, self-serve analytics across the business. You’ll partner with Commercial and Marketing teams to deliver reliable, impactful data solutions, owning key datasets and driving better decision-making. What success looks like in this role: Within 3 months: You’re contributing to dbt models and comfortable navigating our data stack Within 6 months: You’re owning datasets and delivering end-to-end projects with stakeholders Within 12 months: You’ve significantly improved data quality, modelling standards, and self-serve adoption across our Marketing and Commercial teams. Key Responsibilities • Design, build, and maintain scalable, well-tested data models using dbt, • Develop, optimise, and maintain reliable data pipelines within Snowflake, with a focus on performance and cost efficiency, • Translate business requirements into robust, maintainable, and reusable data products, • Partner with stakeholders and Analytics Business Partners to deliver impactful data solutions, • Build and evolve a semantic layer (e.g. Looker/LookML) to enable self-serve analytics, • Ensure data quality through automated testing, validation, and monitoring, proactively identifying, investigating, and resolving data issues, • Own data projects end-to-end, from discovery and design through to delivery and iteration, • Collaborate with Analysts and Data Scientists to deliver trusted datasets powering dashboards, insights and other data products, • Document data models and ensure clear data definitions to support consistency across reporting Skills and Experience • 3+ years’ experience as an Analytics Engineer, BI Engineer, or similar, • Strong hands-on experience with dbt (modelling, incremental models, macros, testing, documentation), • Advanced SQL skills and solid understanding of analytical data modelling (Kimball, Star schema, etc.), • Experience working with Snowflake or similar cloud data warehouses, including query optimisation, • Experience building data models that support business-facing analytics and reporting, • Familiarity with BI tools (Looker preferred; Tableau, Power BI, ThoughtSpot also relevant), • Strong stakeholder management and communication skills, with the ability to translate business needs into data solutions and present complex problems to a non-technical audience, • Strong attention to detail, with a proactive approach to testing, monitoring, and improving data quality, • Experience working with version control (git), CI/CD, and agile development practices, • Ability to manage multiple projects and work independently on well-defined problems Desirable Skills • Experience working with Salesforce, CRM and performance marketing data, • Experience working on large-scale data transformation or platform modernisation projects Tech Stack • Warehouse: Snowflake, • Transformation: dbt, • BI: Looker, • Orchestration: Airflow, • Version Control: GitHub, • Other Tools: Adverity, OpenMetadata, Jira, Confluence Benefits • Hybrid working (minimum of 3 days per week in office), • 25 days annual leave plus bank holidays, • Flexible holiday scheme, • Paid time off to move home, • Contributory pension scheme, • Enhanced family leave benefits, • Insurance benefits including life assurance, • Love Mondays events, • Discount scheme including gyms and popular retailers, • Range of wellbeing and mental health support avenues, • Office in a fantastic location, with countless bars, restaurants and theatres right on the doorstep, • These are just some great benefits we offer everyone working at Reed.co.uk!

Site Reliability Engineer (Contract) – AWS/Kubernetes/Terraform - £600/day - Hybrid (London) Key Information • AWS Site Reliability Engineer (SRE), • Up to £600 INSIDE IR35, • Hybrid (London), • 6-month contract (likely to extend), • Openings: 2 About the role We’re hiring two Senior SREs for a household-name product company. You’ll partner with an existing infra lead and multiple engineering squads to scale the platform, harden reliability, and accelerate automation across build/deploy. What you’ll do • Own and improve CI/CD pipelines and release workflows (Jenkins/GitHub Actions/GitLab/CircleCI)., • Operate and optimise Kubernetes estates (EKS; GKE exposure welcome), container build/run, Helm, and cluster ops., • Deliver Infrastructure as Code with Terraform (modules, workspaces, policy as code)., • Champion reliability: observability, incident response, performance, cost efficiency, and security guardrails., • Drive automation across environments and collaborate closely with multiple product teams. What you’ll bring • Strong experience in AWS (networking, IAM, ECR/EKS, CloudWatch, etc.)., • Deep hands-on with Kubernetes/K8s and container tooling (Docker)., • Solid Terraform skills and IaC best practices., • Proven CI/CD delivery (pipelines, build/test/deploy, environment strategy)., • Senior, self-reliant communicator who mentors others and thrives in multi-team settings. Nice to have • Service mesh/observability (Istio/Prometheus/Grafana/Datadog), policy as code, scripting (Bash/Python/Go)., • Exposure to GKE and multi-cloud patterns. If you're interested and have the required skills, please apply online! #SRE #sitereliabilityengineer #AWS #contract #hiring #devops

🚀 Senior DevSecOps Engineer – Contract Opportunity (Inside IR35) UK GOVT CONTRACT - 6 months Fimatix UK Ltd is looking for a Senior DevSecOps Engineer (SFIA 7) to join our team and play a key role in building and securing modern DevSecOps capabilities across a large-scale digital programme. This is a hands-on engineering role focused on embedding secure-by-design practices into CI/CD pipelines, AWS infrastructure, and identity services, while also helping drive AI-enabled DevOps automation to improve operational intelligence and threat detection. 🔧 Key Responsibilities • Design and implement secure CI/CD pipelines with integrated security tooling (SAST, DAST, container scanning, dependency scanning)., • Embed security-by-design principles across AWS infrastructure and deployments., • Implement IaC security guardrails using Terraform/CloudFormation., • Configure and optimise AWS-native security services (Security Hub, GuardDuty, Inspector, Config, Shield)., • Support identity security integrations with enterprise IAM platforms (ForgeRock or similar)., • Develop AI-assisted DevOps automation for alert triage, incident routing and operational insights., • Contribute to architecture documentation, testing, and security assurance activities. 💻 Technical Environment • AWS (IAM, VPC, EC2, EKS/ECS, Lambda, CloudWatch, CloudTrail), • Security Hub, GuardDuty, Inspector, Config, Shield, • CI/CD tools (GitHub Actions, Azure DevOps, Jenkins), • Infrastructure-as-Code (Terraform, CloudFormation), • Kubernetes / container platforms, • Security testing tools (SAST, DAST, container scanning), • Automation & scripting (Python, Bash) 📌 Experience We’re Looking For • Strong experience implementing DevSecOps pipelines in regulated or government environments, • Deep AWS security architecture expertise, • Experience integrating security tooling into CI/CD workflows, • Experience with identity platforms (ForgeRock or equivalent IAM), • Exposure to AI/ML or automation within DevOps or security operations 📍 Contract Details • Inside IR35 (via umbrella company or FTC), • BPSS and DBS clearance, • £725 day rate, • Hybrid working (UK-based) ⚠️ Important: We are only seeking applications from direct candidates. Recruitment agencies and intermediaries will not be considered for this role. If you’re an experienced DevSecOps engineer passionate about secure cloud engineering and automation, we’d love to hear from you. 👉 Please apply via LinkedIn or send your CV directly to discuss further.

About the Role We are seeking a Senior Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically, • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning, • Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search, • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar, • Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows, • Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources, • Knowledge of LLM evaluation methods — measuring accuracy, hallucination, latency, and cost, • Awareness of responsible AI practices: bias, safety, output validation, and guardrails in production systems, • Experience managing LLM costs and optimising for latency vs. quality trade-offs in real deployments Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration, • Mentoring: Able to mentor less-experienced Software Engineers. Nice-to-Have Qualifications • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with Apple and Google App Stores, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems How to Apply Please submit: • Your resume/CV, • A brief cover letter explaining why you're interested in this role, • Links to your GitHub profile or relevant code samples, • Any relevant projects or work that demonstrates your experience We're particularly interested in candidates who can demonstrate: • Experience building scalable backend systems, • Ability to work across multiple domains (backend, DevOps, data), • Examples of taking projects from idea to production, • Contributions to open source or personal projects Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

About Zeus Zeus is a leading logistics technology company focused on digitising, automating, and optimising supply chains through AI-powered solutions. Our integrated platforms Zeus Command, Zeus Command AI, and Zeus Connect streamline freight operations, enhance efficiency, reduce costs, and provide real-time visibility. Founded to modernise the transport and logistics sector, Zeus has grown into one of Europe’s fastest-growing logistics tech companies, working with major enterprises across multiple countries. Backed by advanced AI and sustainable transport solutions, Zeus is shaping the future of logistics. As we continue to scale, we’re looking for passionate individuals to join our team and help drive innovation in supply chain technology. If you're excited about AI, automation, and revolutionising logistics, Zeus offers an opportunity to work in a fast-paced, dynamic environment with leading industry expertise and state-of-the-art technology. About this job The mission Work with our AI and data team on Pack AI, our AI driven order consolidation and VRP module. Understand each prospect’s unique data and constraints, shape a custom solution, and clearly communicate results. You will own analytical workstreams end-to-end. What will you do • Client-centred analysis: Partner with potential customers to unpack business goals, data quirks, and constraints; translate them into a simulation plan and success criteria., • Data science hands-on: Clean, transform, and analyse large order/delivery datasets; build visualisations and executive-ready summaries (vehicle utilisation, mileage, cost, quantities, OTR)., • Parameter tuning: Design experiments, sweep parameters, evaluate trade-offs, and recommend configurations (e.g., slot windows, min-qty thresholds, SKU segregation)., • API usage & integration: Read docs, consume and stitch APIs (routing, ETAs, data exchange); produce robust scripts/services for repeatable runs., • Athena AI development support: Build data pipelines, evals, and monitoring for Athena agent workflows; collaborate with engineering team on LLM integration quality and observability., • Problem solving & delivery: Proactively flag blockers, propose options, and hit deadlines with self-organised, reliable execution. What great looks like (first 3–6 months) • You independently run a full simulation cycle (data prep → parameter experiments → recommendations → presentation)., • You deliver clear, written decision memos and visuals stakeholders can validate., • You improve plan quality on at least one prospect (e.g. higher trailer utilisation or reduced mileage) with a documented recipe., • You contribute meaningfully to Athena AI agent development (e.g., build an eval suite for tool execution quality, implement a new data pipeline for agent context) Must-have • Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions., • Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar), • Confident with data cleaning, analysis, transformation, and visualisation., • Excellent communication: Advanced written and spoken English; concise, direct, and audience-appropriate (technical + executive)., • Self-organised, responsible, independent: Prior professional experience; capable of planning your own workload to deadlines., • API usage & integration: Comfortable reading API docs, handling auth, rate limits, and building reliable consumers/producers. Nice to have • Routing/optimisation exposure: NVIDIA cuOpt, VROOM, HERE (or similar); familiarity with multi-drop, time windows, packing rules., • Spatial data experience: Coordinates, geocoding, map/route visualisation, basic GIS concepts., • Cloud & delivery awareness: AWS (S3, ECS/Lambda, SNS/SQS), Docker, CI/CD (GitHub Actions), SQL/Postgres., • TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment • Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services). Interview process • 30-min intro (role, your goals), • Python data task (clean/transform + quick viz), • API & systems chat (design a small data pull + retries/observability), • Simulation case (parameter trade-offs; short write-up), • Stakeholder round (present findings; Q&A) What we offer • Private health insurance, • Pension plan, • Central working location, • Hybrid working, • Casual dress code, • Stocked kitchen and as much coffee & tea as you can drink, • Your own Mac or PC laptop and software subscriptions, • Discounted Gym memberships, a variety of virtual classes and seminars free of cost, discount coupons for all the major brands via Charlie HR perks, • Car rental scheme, • L&D via Udemy sponsored by Zeus, • Employee Assistance Program - Provides free of cost psychological, legal and medical counselling

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. What You’ll Do: • Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement., • Build and maintain robust CI/CD pipelines for both software and ML workflows., • Ensure reliability, scalability, observability, and security of production systems and ML infrastructure., • Automate deployment, orchestration, and environment management using modern DevOps tooling., • Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production., • Proactively detect, troubleshoot, and resolve infrastructure and model performance issues., • Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering., • Document infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: • Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role., • Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch., • Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes)., • Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm)., • Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing., • Ability to design scalable, secure, and observable systems in fast-moving environments., • Strong debugging and problem-solving skills across distributed systems., • Excellent collaboration and communication skills, with experience working in cross-functional teams., • Understanding of security and compliance best practices for both software and ML systems. What we offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Founding Engineer (Platform) Location: Remote first (global, UK timezone) Compensation: Up to £120,000 + significant equity Type: Full-time What is DeepFlow? DeepFlow is the hyperscaling platform. We launch and scale AI-native businesses. An operator with 10 years of domain expertise pairs with DeepFlow’s platform and engineering support to build a business that would previously have needed a team of 50. You’re building that platform. Where we are now • Platform live with paying customers across law, finance, recruitment, and media, • Launching our founding cohort through DeepFlow Foundry: deploying agents into real revenue-generating businesses, • Preparing for a significant raise to scale from 2–3 companies to 10+ by September, with a roadmap to 100 in 2027, • Research team published at AAAI 2026 (invited oral) and DAI 2025, with work adopted by top global universities and companies The Role You own the platform. The orchestration engine, the infrastructure, the client-facing dashboards, the integrations, the APIs - everything that isn’t the AI agents themselves. Your architecture decisions directly determine whether the businesses on our platform succeed at scale. This is a full-stack, high-ownership founding role. You work directly with the CTO/CPO and CSO to shape product direction. Significant equity reflects the scope and impact of the position. What You’ll Build • Orchestration Engine: Event-driven task graph execution - breaking complex business workflows into composable steps, delegating to the right agent or human at the right time, with robust failure handling and retries., • Core Platform: Auth, API endpoints, integrations (Slack, GSuite, CRMs, accounting tools), and dashboards. Everything that Foundry companies and their clients interact with daily., • Infrastructure: Docker, EKS on AWS, CI/CD, monitoring, and cost management. You own the full stack from development through to production., • Frontend: Client-facing dashboards, internal tools, and admin interfaces. This is a genuine full-stack role - you own the frontend, not just unblock yourself on it., • Product Direction: You work closely with the founding team to translate cohort feedback and client needs into engineering decisions. What to build matters as much as how you build it. What We’re Looking For • Strong software engineering - you write clean, production-quality code and you ship fast. You’ve built and deployed real systems, not just prototypes., • Genuinely full-stack. Backend, infrastructure, and frontend (React/TypeScript). You don’t wait for someone else to build the other half., • Experience with event-driven or workflow orchestration systems. You understand what breaks when you move beyond simple request-response., • Comfortable with AWS (EKS, IAM, networking) and modern CI/CD practices., • Fluent with modern AI tooling - you use Cursor, Claude Code, or similar daily and it makes you faster. AI tooling is not optional here., • Comfortable with ambiguity and startup pace. Priorities shift weekly based on cohort feedback., • Right to work in the UK permanently. We care less about • Your degree (or lack of one), • How many years you’ve been working - we care about what you’ve shipped, • Whether you’ve published papers Tech Stack • Backend: Python, • Frontend: TypeScript, React, Vite, • Infrastructure: AWS (EKS), Docker, Inngest (event-driven orchestration), • Tools: Cursor, Claude Code, GitHub Why Join • Ownership. Significant equity as a founding engineer. The platform you build is the platform every Foundry company runs on., • Real traction. Paying customers, founding cohort live, and a significant raise in preparation. What you build in the next 6–12 months directly determines whether we hit 10 companies by September., • Exceptional team. Co-founder who sold his AI company to WPP for $100M. Product leader who scaled a Meta platform to 400K+ users. Research team published at top AI venues with work adopted by leading universities and Fortune 500 R&D teams. Advisors include a leading NLP researcher and a Google DeepMind team lead., • Flexibility. Fully remote, UK timezone. Regular offsites. We care about what you ship, not when you’re online. We’re hiring immediately. The process is fast: we make offers within one week.

Affinity Labs: Founding Product Engineer Location: London Area, United Kingdom · On-site Company Description At Affinity Labs, we’re building a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetisation by rapidly building, launching, and scaling digital ventures alongside with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Why Affinity Labs: Ship at rapid pace with AI-accelerated workflows, see your work distributed to tens of thousands of users at launch, and compound impact across multiple products, not just one. Role Description You’ll lead end-to-end product engineering across our portfolio: scoping features, designing APIs and data models, building backend services, and shipping polished user-facing experiences across web and mobile. This is an early-stage, hands-on role with significant autonomy and responsibility. You will own full-stack product delivery, from infrastructure and AI integrations through to React / React Native interfaces, collaborating closely with founders, creators, product, and design to turn lean specs into scalable, user-loved software. We’re looking for a strong generalist with backend depth and real mobile experience. Responsibilities • Implement features end-to-end (mobile + web frontend → APIs → data models → integrations) while maintaining quality and velocity., • Build React Native mobile apps and shared component systems across products., • Design and ship scalable backend services (APIs, integrations, AI workflows)., • Run tight build → test → iterate → ship loops; provide realistic estimates and surface blockers early., • Manage tech debt pragmatically, • Participate in daily standups and weekly planning; contribute to technical strategy and execute from Linear tickets., • Contribute meaningfully to product and architecture discussions; be heard in debate and align to unified decisions., • Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks., • Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails)., • Help evolve our reusable product templates and shared architecture across the portfolio. Essential Requirements • 3-6+ years building production-grade full-stack applications, with clear ownership., • Strong backend experience in Python (FastAPI preferred) and solid database skills (PostgreSQL/MongoDB)., • Proven experience building and shipping mobile apps with React Native., • Strong React fundamentals (Next.js experience a plus)., • Solid API design and systems thinking., • Familiarity with AWS serverless patterns and Docker; basic CI/CD concepts., • Comfortable with Redis (caching/sessions) and queue/messaging patterns., • Startup mindset: high ownership, comfort with ambiguity, bias toward shipping., • Growth mindset & flexibility: open to feedback; not rigid about stack/tools., • Clear communicator & collaborator; able to guide product decisions from engineering perspective., • Evidence of shipping quickly in small teams (links to apps, repos, case studies, live products). Desired • Node.js alongside Python for services or integrations., • App Store / Google Play release experience., • Experience with vector databases (e.g., Chroma) and embedding pipelines., • LangChain or CrewAI for orchestration; MCP servers for integrations., • Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics., • Planning & execution in Linear (or similar). Tools & Stack • Backend/Runtime: Python (FastAPI), Node.js., • Frontend: React/Next.js, • Mobile: React Native, • Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions)., • Vectors/Embeddings: Chroma (or similar)., • AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio)., • AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code., • Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours • Communicates clearly with technical and non-technical teammates., • Takes ownership from concept to deploy and through maintenance., • Thinks in systems + design for reuse across a portfolio., • Balances technical excellence with pragmatic delivery to meet business needs., • Adapts quickly to changing requirements and emerging tech; applies AI learnings., • Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines. Why this role is a career launchpad • Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one., • Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate., • Ride a rocket. Our wider vision is big and the bar is high; we need driven people who can help us achieve an ambitious roadmap., • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly., • Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.

Founding Engineer (AI) Location: Remote first (global, UK timezone) Compensation: Up to £120,000 + significant equity Type: Full-time What is DeepFlow? DeepFlow is the hyperscaling platform. We launch and scale AI-native businesses. An operator with 10 years of domain expertise pairs with DeepFlow’s platform and engineering support to build a business that would previously have needed a team of 50. You’re building the agents that make it work. Where we are now • Platform live with paying customers across law, finance, recruitment, and media, • Launching our founding cohort through DeepFlow Foundry: deploying agents into real revenue-generating businesses, • Preparing for a significant raise to scale from 2–3 companies to 10+ by September, with a roadmap to 100 in 2027, • Research team published at AAAI 2026 (invited oral) and DAI 2025, with work adopted by top global universities and companies The Role You own the agent layer. Every AI workflow that runs on DeepFlow - the scaffolding, the prompts, the tool integrations, the evaluation pipeline - is your responsibility. Your decisions about agent architecture, provider selection, and quality assurance directly determine whether our companies’ AI delivers in production. This is a software engineering role with an agent specialisation. You’re a full-stack engineer first - you write backend services, build APIs, and ship features end-to-end. Your focus is the model layer, but you’re not siloed to it. You work directly with the CTO/CPO and CSO to shape product direction. Significant equity reflects the scope and impact of the position. What You’ll Build • Agent Scaffolding: Designing and building the frameworks that connect LLMs into reliable, production-grade workflows - prompt engineering, tool use, and multi-step chains that hold up at scale., • Provider Integration: Working with closed-source providers (OpenAI, Anthropic, Google, etc.) via OpenRouter. Managing model selection, fallbacks, cost optimisation, and latency across providers., • Agent Evaluation: Building the eval infrastructure that measures whether agents actually work - regression testing, quality metrics, and structured failure analysis., • Integration Engineering: Connecting agents to the external world: Slack, GSuite, CRMs, accounting tools, and domain-specific APIs. The integration layer that makes agents useful in real businesses., • Full-Stack Delivery: You write backend services, build API endpoints, and contribute to the frontend when needed. Agents don’t exist in a vacuum - this is still a software engineering role., • Product Direction: You work closely with the founding team to translate cohort feedback and client needs into agent architecture decisions. What to build matters as much as how you build it. What We’re Looking For • Strong software engineer first. You write clean, production-quality code and you ship fast. Real deployed systems, not notebooks., • Experience building with closed-source model providers in production - shipping agent workflows to real users, not just prototyping., • Practical understanding of prompt engineering, tool use, and agent evaluation. You know what makes an agent reliable versus what makes a good demo., • Full-stack capable. Backend (Python), infrastructure basics, and enough frontend (React/TypeScript) to ship features end-to-end., • Fluent with modern AI tooling - you use Cursor, Claude Code, or similar daily and it makes you faster. AI tooling is not optional here., • Comfortable with ambiguity and startup pace. Priorities shift weekly based on cohort feedback., • Right to work in the UK permanently. We care less about • Your degree (or lack of one), • How many years you’ve been working - we care about what you’ve shipped, • Whether you’ve published papers - this is an engineering role, not a research role Tech Stack • Backend & Agents: Python, pydantic-ai, proprietary agent frameworks, OpenRouter, • Frontend: TypeScript, React, Vite, • Infrastructure: AWS (EKS), Docker, Inngest (event-driven orchestration), • Tools: Cursor, Claude Code, GitHub Why Join • Ownership. Significant equity as a founding engineer. The agents you build power every business on the platform., • Real traction. Paying customers, founding cohort live, and a significant raise in preparation. What you build in the next 6–12 months directly determines whether we hit 10 companies by September., • Exceptional team. Co-founder who sold his AI company to WPP for $100M. Product leader who scaled a Meta platform to 400K+ users. Research team published at top AI venues with work adopted by leading universities and Fortune 500 R&D teams. Advisors include a leading NLP researcher and a Google DeepMind team lead., • Flexibility. Fully remote, UK timezone. Regular offsites. We care about what you ship, not when you’re online. We’re hiring immediately. The process is fast: we make offers within one week.

We’re partnering with a high-growth, venture-backed AI platform that is transforming how large financial institutions automate and scale complex workflows. Backed by top-tier global investors and growing fast, they’re now looking for a Platform Engineer to take ownership of cloud infrastructure as the company scales. This role is ideal for someone who enjoys building robust, secure, and cost-efficient platforms in fast-paced environments and wants real ownership and impact. What You’ll Be Doing • Design, build, and maintain scalable cloud infrastructure to support rapid product growth, • Own DevOps, observability, and reliability across the platform, • Prepare systems for SOC 2 / ISO 27001 audit readiness, • Build and manage CI/CD pipelines across backend, frontend, and data services, • Implement logging, metrics, tracing, alerting, and on-call processes, • Monitor and optimise cloud costs without compromising performance or reliability, • Act as a champion for operational excellence across engineering teams Technical Skills Required • Cloud experience with Azure (AWS experience a plus), • Infrastructure as Code using Terraform, • Kubernetes (AKS), Docker, GitHub Actions, • Strong observability experience (logging, metrics, tracing), • Solid understanding of networking (VPCs, DNS, load balancers, VPNs, firewalls), • Experience managing production databases (PostgreSQL, MySQL, NoSQL) and storage, • Scripting and automation using Python and/or Bash, • 4–7 years in platform, infrastructure, or DevOps engineering, • Startup or high-growth environment experience strongly preferred, • Proven ownership of infrastructure end-to-end, • Experience with compliance frameworks (SOC 2, ISO 27001, GDPR), • Track record of balancing scale, reliability, and cost efficiency What You Can Expect • A challenging, fast-moving environment where priorities evolve, • Real ownership and visibility, working closely with founders, • High standards, high trust, and high impact, • Competitive salary plus meaningful equity, • A defining role at a critical growth stage This is an opportunity to build something exceptional with a driven, ambitious team.

Frontend Engineer STS Digital () is a leading regulated digital asset trading firm specialising in OTC trading and market making. While trading is headquartered in Bermuda, technology development is provided by a vibrant global engineering team. We are seeking an experienced Frontend Engineer to join our OTC Trading Technology team. This role focuses on building and evolving the user interfaces that support OTC Spot and Options RFQ trading, structured products, and client-facing workflows. The UI Engineer will work on both external client experiences and internal trading and administration tools, with a strong emphasis on performance, usability, and correctness in a trading environment. Primary Responsibilities • Design, build, and maintain user interfaces for OTC trading systems using TypeScript and React., • Develop and enhance client-facing platforms including the Client Portal and onboarding workflows., • Contribute to internal trading and administration tools used by sales, trading, and operations teams., • Work closely with backend engineers to integrate APIs supporting RFQ trading, pricing, and trade lifecycle workflows., • Ensure UI components are performant, responsive, and robust under real-time trading conditions., • Collaborate with traders, product stakeholders, and engineers to deliver intuitive and reliable user experiences., • Maintain high standards for code quality, testing, and maintainability., • Participate in production issue analysis and resolution, particularly where UI behaviour impacts trading or client experience. Expected Qualifications Essential • Strong hands-on experience with TypeScript and React in production systems., • Proven experience building complex, data-driven user interfaces., • Experience working in trading, financial markets, or other time-sensitive, high-reliability environments., • Solid understanding of UI performance, state management, and real-time data handling., • Strong attention to detail and a structured approach to debugging and problem solving., • Comfortable working closely with backend engineers and non-technical stakeholders., • Experience integrating with REST or WebSocket APIs., • Exposure to backend technologies such as C# or Python., • Familiarity with RFQ, OTC, or derivatives trading workflows., • Experience working on admin or operational tooling alongside customer-facing applications., • Understanding of basic cloud concepts and deployment environments. Our Tech Stack • Frontend: TypeScript, React, • Backend: C#, Python, • Databases: PostgreSQL, DynamoDB, • Infrastructure: AWS (EKS, EC2), • Version Control & CI/CD: GitHub More Info STS Digital provides trading solutions and market making for digital assets. As OTC trading volumes and product complexity grow, high-quality UI is critical to both client experience and internal efficiency. This role is focused on delivering reliable, well-designed interfaces that directly support trading performance and client outcomes. Why Join Us This role offers the opportunity to work on mission-critical trading interfaces at the heart of an OTC trading business. You will collaborate closely with experienced trading and engineering teams, gain deep exposure to OTC workflows, and play a key role in shaping the user experience of a growing digital asset trading platform.

Senior DevOps Engineer Overview We are seeking a Senior DevOps Engineer who is passionate about building secure, scalable infrastructure and enabling high-performing engineering teams. In this role, you will collaborate closely with developers, testers, and stakeholders to improve deployment processes, enhance system reliability, and support the delivery of robust applications. You will contribute to shaping DevOps practices, tooling, and infrastructure strategy across the organisation. Responsibilities • Build and maintain scalable cloud infrastructure in Azure using Terraform, • Collaborate with cross-functional teams to ensure reliability, security, and performance across systems, • Design, implement, and improve CI/CD pipelines and automation workflows, • Develop and maintain reusable infrastructure and application templates, • Evaluate and integrate new technologies to enhance platform capabilities, • Improve observability through monitoring, logging, and alerting solutions, • Troubleshoot infrastructure and deployment issues, ensuring rapid resolution Ideal Candidate • Infrastructure as Code (IaC): Strong experience with Terraform and cloud platforms (Azure preferred), • Kubernetes: Experience managing containerised applications, including cluster troubleshooting, Helm, and GitOps workflows, • Security: Hands-on experience with secrets management tools (e.g., Vault, Azure Key Vault) and authentication systems (e.g., SSO, Okta), • Observability: Experience with tools such as Datadog, Grafana, or Azure Monitor, • Networking: Solid understanding of networking concepts, DNS, and related technologies, • CI/CD: Experience building and maintaining pipelines using tools such as GitHub Actions, • Microservices: Familiarity with microservices and event-driven architectures (Kafka knowledge is beneficial), • Communication: Strong interpersonal skills with the ability to collaborate across teams Benefits • 25 days annual leave plus bank holidays, • Hybrid working model, • Discretionary bonus scheme, • Company pension, • Life and medical insurance, including eyecare, • Employee Assistance Programme, • Cycle to work scheme, • Family-friendly policies, • Referral and reward schemes, • Access to employee perks platform

Inside IR35 contract | 3-6 month 1-2 days onsite requirement London or Birmingham We are seeking an experienced MLOps Engineer with a strong background in DevOps, Data Science, or Machine Learning Engineering, who has hands-on experience productionising ML models. The focus of the role is building and enabling production-grade ML environments rather than model development itself. Candidates must have deep MLflow experience and proven delivery in real-world client settings. Key Responsibilities • Design, build, and maintain end-to-end MLOps environments to support model training, tracking, deployment, and monitoring, • Implement MLflow for: Experiment tracking; Model registry; Model versioning and lifecycle management, • Enable model deployment into production (batch and/or real-time) with robust CI/CD, • Work closely with Data Scientists to transition models from experimentation to production, • Build scalable, secure, and reproducible ML platforms, • Establish best practices around: Model governance; Monitoring and retraining; Environment management, • Integrate with cloud and data platforms such as Databricks, and potentially AWS SageMaker Essential Experience • Strong MLOps background, not just theoretical knowledge, • Extensive hands-on MLflow experience (non-negotiable), • Demonstrable experience productionising ML models for at least 2–3 client engagements, • Background in one or more of: DevOps; Data Science / Machine Learning Engineering; Data Engineering (not required, but acceptable if MLOps-led), • Experience designing and supporting ML platforms in production environments Technical Skills (Required / Highly Desirable) • MLflow, • Databricks, • Cloud platforms (AWS preferred; SageMaker experience a plus), • CI/CD for ML (e.g. GitHub Actions, GitLab CI, Azure DevOps, etc.), • Containerisation and orchestration (Docker, Kubernetes), • Infrastructure as Code (Terraform or similar), • Python-centric ML workflows Sponsorship not available for this role.

Overview We are seeking a Senior Java Developer to join a regulated banking environment in London. You will work on cloud-native services using a modern Java stack, contributing to secure, resilient platforms that support critical banking products. Key Details • Location: London, Greater London, United Kingdom, • Rate: £600 per day, • Contract: Minimum 6 months, high potential to extend, • Work pattern: 2 days per week, onsite Responsibilities • Design, build and maintain Java microservices and APIs using Spring Boot., • Own delivery end-to-end: requirements clarification, implementation, testing, deployment and support., • Improve engineering practices, code quality, observability and operational resilience., • Work effectively in a regulated setting, ensuring compliance, auditability and secure-by-design principles., • Proven senior-level Java experience (Java 11+), including modern language features and best practices., • Strong Spring Boot expertise (RESTful APIs, security, configuration, testing)., • Essential: scale up banking or financial services background within a regulated environment., • Cloud-native experience (e.g., AWS/Azure/GCP), containerisation (Docker) and orchestration (Kubernetes)., • Strong knowledge of CI/CD, Infrastructure as Code, and automated testing (JUnit, Mockito, integration tests)., • Experience with SQL and relational databases; understanding of performance tuning and transactionality., • Production support experience: monitoring, logging, tracing and incident management., • Mindset: self-directed, proactive problem-solver who challenges assumptions rather than simply following tasks., • Commercial experience with Github Copilot is a desireable skill, • Preferred: start-up/scale-up or high-growth engineering experience.

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Flutter Software Engineer About us: Tewke is a growing startup on a mission to change the way people live within their homes, empowering them to automatically save energy and improve their living environment. Tewke is revolutionising the way homes operate by focusing on sustainable and efficient living. Our touchscreen devices simplify smart homes to save energy, protect health, and enhance automation and security. By eliminating the need for multiple apps and devices, Tewke offers an integrated and straightforward approach. Join us as we lead the charge in creating a healthier, smarter habitat for all. We've developed our own hardware and software to create one of the most advanced home automation platforms in the world. By combining smart grids with home automation, we are pioneers in intelligent control and energy consumption. We are growing fast and looking for wildly ambitious people at the beginning of their career, looking to reshape a rapidly changing industry, to join us as we enter the next stage of development. About the role: We are seeking a talented Flutter Developer to join our team. The ideal candidate will thrive in a fast-paced environment, enjoy taking on responsibility and owning a project, and possess a passion for creating exceptional mobile applications. You will play a crucial role in developing a mobile app for both Android and iOS platforms, integrating with proprietary and third-party APIs, and collaborating closely with backend engineers, designers, and stakeholders to ensure a seamless user experience. The mobile app will sit alongside Tewke’s flagship product, the Tewke Tap intelligent light switch. What you will be doing: • Leading the development of Tewke mobile application for iOS and Android phones using the Flutter framework., • Integrating the Tewke app with our other systems to deliver a smooth user experience for our customers., • Launching software products to an international audience. About you: The ideal candidate will have worked for at least 2 years as Flutter developer working on mobile applications. They should be comfortable working in a fast-paced, dynamic environment with other software engineers across a wide technical stack. We would prefer someone who can work in our London (Southwark) office at least 3 days a week, however we will consider remote candidates. You will need to have the right to work in the UK. • Proficient in Dart and the Flutter Framework, • 1+ years experience working on iOS / Android applications, • Bachelors/Masters degree in Computer Science or similar, • Experience integrating with proprietary and 3rd party APIs, • Ability to work independently, • Good working knowledge of Git and experience with version control software from providers such as GitHub or GitLab, • Write clean, efficient, and reusable code Nice to have: • Experience as a full stack engineer to work across cloud and app infrastructure, • Experience publishing apps in the Apple App Store and Google Play Store, • Experience in a small team working independently, • Comfortable using BLoC for state management, • Experience using WebSockets, • Experience working with home automation The perks: • Full autonomy to direct your area of Tewke., • Breakfast in the office every morning before 10am., • Working with an environmentally focused company that’s fighting climate change., • Unlimited holiday., • Share options., • Flexible working- work anytime, anywhere outside of our core hours (Monday-Thurs, 10:00-16:00)., • Fortnightly team socials., • Cycle to work scheme., • Discounts on buying tech products for personal use. Salary £50-60k

Role Summary Aubay is seeking a Principal Data Engineer to join a leading energy client’s team who will conceptualize and design data foundations and end-to-end solutions, including data platforms, to maximize value from data. The role promotes a data-driven culture across IT teams and wider business stakeholders, acting as a subject matter expert and thought partner in defining the vision and data strategy for robust, future-ready IT solutions. Required skills and experience • Strong proficiency with cloud platforms: AWS, Azure, SAP, • Expertise in ELT development and automation with scalable pipeline design, • Mastery of data modeling techniques, • Skilled in data ingestion, integration, and transformation using modern tools (Data Factory, Databricks, SQL DB, Synapse, Glue, Airflow, Kinesis, Redshift), • Hands-on experience with DevOps tooling: GitHub Actions, Azure DevOps, SonarQube, PyTest, • Proven ability to coordinate incident, problem, and change management processes, • Strong communication skills with both technical and non-technical stakeholders, • Demonstrated experience in technical documentation and maintaining high-quality solution documentation Desired skills and experience • Experience in project management or leading Agile/Scrum teams, • Experience with financial or operational planning tools (e.g., SAP BPC), • Familiarity with external partner ecosystems and cross-functional delivery models, • Ability to mentor and guide junior engineers, • Experience contributing to enterprise-scale data transformation projects, • Knowledge of trading, supply, or energy domain data models, • Experience with MKDocs documentation Role Responsibilities • Design and deliver scalable, cloud-based data engineering solutions, • Lead efforts to modernize data platforms, including migration of legacy systems to cloud infrastructure, • Manage data ingestion, integration, and transformation workflows while ensuring high standards of data quality, governance, and performance, • Collaborate with IT and business stakeholders to translate strategic goals into actionable data architecture and solutions, • Act as a subject matter expert, mentoring junior engineers and providing technical guidance, • Coordinate incident, problem, and change management processes, ensuring minimal disruption and timely resolution, • Present technical findings, reports, and recommendations to stakeholders, • Drive implementation efficiency across pilots and enterprise projects to maximize value delivery, • Contribute to community-building initiatives such as Centres of Excellence (CoE) and Communities of Practice (CoP)

Infrastructure/Security/DevOps A high‑growth AI company is building the next generation of workflow automation for large enterprises — and are looking for a Senior Infrastructure Engineer to help scale their platform as they onboard global customers. The product transforms complex, manual processes into fully automated AI systems used across large, distributed teams. Backed by top-tier investors and growing rapidly, they're now strengthening their infrastructure foundations to support the next phase of expansion. They are looking for an experienced engineer to lead the development of their cloud systems, security posture, reliability culture, and operational excellence. Key Responsibilities • Architect, implement, and scale cloud infrastructure to support rapid growth, • Prepare systems and processes for SOC 2 / ISO 27001 audit readiness, • Build and maintain CI/CD pipelines across backend, frontend, and data services, • Develop and manage logging, metrics, tracing, and alerting systems, • Lead efficient on‑call and incident-response processes, • Monitor and optimise cloud spend Tech Stack • Cloud: Azure (AWS a plus), • IaC: Terraform, • Containers: AKS (Kubernetes), Docker, • CI/CD: GitHub Actions, • Observability: Logging, metrics, tracing frameworks, • Security: Secrets management, scanning tools, cloud best practices, • Networking: VPCs, private networking, DNS, load balancers, VPNs, firewalls, • Databases: PostgreSQL, MySQL, NoSQL, blob storage, • Automation: Python or Bash Requirements • 4–7 years of experience in Infrastructure, DevOps, SRE, or Platform Engineering, • Strong track record owning infrastructure end‑to‑end, • Experience in high‑growth or high‑load environments, • Familiarity with compliance frameworks (SOC 2, ISO 27001, GDPR), • History of driving reliability, security, and cost efficiency, • Someone who thrives in fast-moving, evolving environments and enjoys solving hard problems Essential • Able to work in UK, • Relevant degree

Department Tech Employment Type Full-time, London Office Attendance Expectation Hybrid About the role At &Dine, we’re building a community of food lovers, connecting exceptional independent makers with teams who want better food at work. We’re looking for a Senior Software Engineer who cares about quality, performance, and product impact - someone who enjoys solving real-world problems at scale and shaping how a platform grows, not just writing code. You’ll work across front-end, back-end, and infrastructure, partnering closely with product, operations, and design to deliver reliable, elegant solutions across ordering, payments, logistics, and internal tools. What you'll be doing • Lead development across key product areas from concept to production, • Build high-quality front-end features using a modern JS stack (Vue/Nuxt or similar), • Design and maintain scalable APIs and services in Node.js with SQL/Sequelize, • Mentor junior engineers through code reviews, pairing, and technical guidance, • Help shape our technical roadmap and introduce new tools, frameworks, and practices where they make sense, • Own technical decisions around architecture, performance, and reliability, • Collaborate with product and operations to translate business needs into robust solutions, • Improve system observability, monitoring, and incident response, • Identify technical debt and proactively drive refactors, • Support CI/CD, deployment pipelines, and environment management What we're looking for • Strong experience as a Senior Software Engineer or equivalent, • Proven ability to guide and support junior developers, • Deep knowledge of modern front-end frameworks (Vue, React, or similar), • Solid back-end experience with Node.js and relational databases (Postgres/MySQL) using ORMs such as Sequelize, • Confidence in evaluating and adopting new technologies pragmatically, • A product-led mindset: you care about outcomes, not just implementations, • Comfortable in a fast-moving startup environment, • Clear communicator across technical and non-technical teams, • A genuine interest in food, hospitality, or building better workplace experiences Front-end Experience with some of the following, or a strong willingness to learn: • JavaScript / TypeScript – modern ES standards, async patterns, clean architecture, • Frameworks – Vue / Nuxt (or React / Next.js), component-based development, • State management – Vuex, Pinia, or equivalent patterns, • API integration – REST/JSON, error handling, loading states, • Performance – bundle optimisation, code splitting, rendering strategies, • Accessibility & UX – semantic HTML, responsive design, usability best practice, • Testing – unit and component testing (Jest, Vitest, Testing Library, Cypress/Playwright), • Version control – Git workflows, PR reviews, and collaboration Back-end Experience with some of the following, or a strong willingness to learn: • Node.js – building scalable, maintainable services, • APIs – RESTful design (GraphQL a plus), authentication, validation, rate limiting, • Databases – PostgreSQL / MySQL, schema design, indexing, query optimisation, • ORMs – Sequelize or similar (migrations, associations, transactions), • Business logic – handling payments, scheduling, pricing, permissions, and workflows, • Testing – unit, integration, and API testing, • Security – data protection, authentication, role-based access, and best practices DevOps/Infrastructure Experience with some of the following, or a strong willingness to learn: • CI/CD – GitHub Actions, GitLab CI, or similar automated pipelines, • Cloud platforms – AWS, GCP, or Azure, • Containerisation – Docker and environment configuration, • Deployments – staging/production environments, rollback strategies, • Monitoring & logging – error tracking, performance monitoring, alerting, • Reliability – uptime, backups, and incident response Engineering Practices • Writing clean, maintainable, well-documented code, • Code reviews and constructive technical feedback, • Coaching juniors and helping them level up technically, • Evaluating new technologies and introducing them where they deliver clear value, • Designing systems with scalability, performance, and security in mind, • Pragmatic decision-making in a startup environment Bonus points if you • Have led or owned major product areas or technical initiatives, • Have introduced new tools, frameworks, or processes that improved delivery or quality, • Have experience with Nuxt, server-side rendering, or marketplace platforms, • Have any of the certificates LPIC-1, LPIC-2 or AWS associate, professional or specialist, • Have experience being Security Champion and knowing STRIDE, PASTA and Hybrid, • Have worked on B2B, payments, logistics, or operationally complex systems, • Care deeply about food, hospitality, and how shared meals bring people together Benefits of working at &Dine • Join our options pool and be a business owner!, • £250 learning and development budget. Here we’ve got some courses that may be beneficial to your development at &Dine., • Charlie HR. Secure great offers too from top retailers such as John Lewis and Samsung via our HR Platform., • Enjoy your birthday. Take a day off for your birthday - on us!, • £500 referral bonuses. If you bring in a new face to the business, once they have passed their probation period, you will receive £500!, • Team socials. We’re big foodies, so you’ll be sure to enjoy some food and drink with us, as well as some great activities!, • Work abroad for 1 week

Our client currently seeks a Senior AI Engineer to join their dynamic team on an initial 6 month contract. This role is Hybrid (2 days a week on-site based in Stratford) Your core responsibilities include: • Analyse and interpret eval results, logs and traces from a live AI product, • Develop and maintain Python microservices, AWS Lambda functions, Python packages and REST APIs interacting with AWS Bedrock, OpenSearch, Kendra, DynamoDB, and other services. • Build and maintain Lambda functions, Step Functions, and LLM agents to orchestrate workflows., • Work with DevOps engineers on day-to-day development, deployment, and operational support., • Contribute to CI/CD pipelines and deployment automation using GitHub Actions., • Manage artifacts, enforce branch strategies, and utilize Maven and Nexus for release-to-live (RTL) development, including versioning, dependencies, and packaging standards. • Participate in code reviews and maintain documentation for backend services. Should this role speak to you, kindly send a copy of your latest CV to

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Computer Vision Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As a Computer Vision Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class, open-source AI models. You will drive the entire lifecycle of our models, from research to real-world deployment. Key responsibilities include: • Developing, training, and optimizing state-of-the-art computer vision models, with a primary focus on the Ultralytics YOLO ecosystem., • Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets., • Leading the full lifecycle of model development, from research and training to validation and performance benchmarking., • Mastering model export to various formats such as ONNX, OpenVINO, and TensorRT to support a wide range of hardware., • Working on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices., • Contributing to our CI/CD pipelines using GitHub Actions to ensure code quality, reliability, and automated testing. 🛠️ Skills and Experience • 5+ years of hands-on experience in Computer Vision and Deep Learning., • Expert-level proficiency in Python and deep expertise with PyTorch., • Strong practical experience with OpenCV for image and video processing tasks., • Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family., • Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO., • Experience with MLOps tools and practices, including version control (Git), Docker, and CI/CD with GitHub Actions., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment., • A strong portfolio of projects or contributions to open-source AI repositories. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge AI projects and our Ultralytics HUB., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.

Technical Lead (Senior Full Stack Developer) | Python, Django, React, Wagtail | Public Impact Digital Platform The Role You’ll step into a hands-on Technical Lead position where you will shape the direction of a nationally important digital platform used by millions. This is a true player-coach role, combining technical leadership with hands-on engineering. You’ll operate in a partially greenfield environment, building new tools and improving existing platforms. Alongside this, you will elevate engineering standards, introduce scalable architecture, and embed data-driven thinking across the organisation. You’ll also play a key role in introducing pragmatic AI solutions, focusing on real-world use cases such as triage, summarisation, and guided user journeys, always with a strong emphasis on safety and reliability. What They’re Looking For • Python development, • Django web frameworks, • React or modern JavaScript frameworks, • Wagtail CMS, • PostgreSQL or relational databases, • REST APIs, DRF or equivalent, • Docker and containerisation, • CI/CD pipelines, GitHub or GitLab, • Cloud platforms, Azure preferred, • Data platforms, Data Lake or Databricks exposure, • AI API integration Beyond the tech, you’ll bring strong technical leadership experience, with the ability to mentor and grow a team from the ground up. You’ll be comfortable working in structured or regulated environments and able to communicate clearly with non-technical stakeholders. You’ll also have sound judgement when it comes to architecture decisions and balancing build versus buy. Nice to Haves • GraphQL APIs, • Elasticsearch, • Data pipelines and warehousing, • Accessibility best practices, • Azure ecosystem depth Why Join / Projects • You’ll lead the build of new digital tools that directly impact millions of users, • You’ll shape the technical roadmap in a growing, evolving environment, • You’ll build and mentor a small, high-performing engineering team from the ground up, • You’ll drive the adoption of AI in a responsible, real-world setting, • You’ll influence how data is captured and used to inform large-scale decision-making and policy, • You’ll work in a product-led environment where engineering has real strategic input Employee Benefits • £70,000 to £85,000 salary, • 10% non-contributory pension, • 27 days annual leave, • 35-hour working week, • Flexible working hours, flexi-time, • Hybrid and remote-first working, UK-wide with 1 to 2 days per month in London, • Long-term contract, 18 to 24 months with strong potential to convert to permanent Technical Lead (Senior Full Stack Developer) | Python, Django, React, Wagtail | Public Impact Digital Platform

Role: Contract Power BI Specialist Project: Greenfield data & reporting platform build Industry: Commodities & energy trading Location: London (hybrid 3 days per week) Rate: £700-800/d (inside IR35) Contract: 6 months initial (multiyear scope) X4 Technology are partnered with a leading commodities & energy trading firm offering the opportunity for a Contract Power BI Specialist to deliver a new greenfield reporting and analytics platform. As a hands-on Power BI Specialist, you'll lead the development of scalable reporting solutions and act as a Subject Matter Expert across BI architecture, data modelling and Power BI development. This role will play a key part in shaping the organisation’s modern reporting capability within a cloud data environment. Requirements for the contract Power BI Specialist (Commodities) • BI/Reporting: Power BI, data visualisation, Power BI Service, Advanced DAX, Tabular Editor, DAX Studio, Measure Killer, • Data Modelling & Architecture: Semantic design, Star Schemas, Semantic models, • Databases & Platforms: Snowflake, Azure Databricks, • Data Engineering & ETL: ETL processes, DBT, IBM Data Manager, • DevOps & Governance: GitHub, Version control, CI/CD, License management, Capacity optimisation, • Background in commodities or energy trading environments strongly preferred This is a 6 month initial contract but with multiyear scope offering a day rate of £700-800/d inside IR35. If you're a Power BI Specialist with strong experience in the commodities or energy trading domains, please apply online now for immediate consideration.

Content Coordinator London, UK £27,000 PA ABOUT US Our philosophy at The Travel Corporation (TTC) is simple, we create enriching experiences for travellers by combining an unbeatable mix of exceptional service and quality at great value. As a global business with over 100 years of experience in the travel industry, our ethos of being ‘Driven by Service’, ensures we keep our values of passion, people and purpose at the heart of everything we do - designing and running immersive, innovative and responsible travel experiences for our guests across 70 countries. Join us in creating life-changing moments for every guest across our award-winning brands and experience the TTC difference. OUR VALUES • Driven by service, • An inherent passion for travel, • Commitment to our customers and to our people, • Commitment to social responsibility and our 5-year sustainability strategy POSITION SUMMARY Are you skilled in proofreading, passionate about travel and known for your meticulous attention to detail? As a Content Coordinator you’ll support content management for global guided tour brands Trafalgar Tours, Contiki Holidays, Insight Vacations, Luxury Gold and Costsaver. In this role, you’ll be at the heart of ensuring itinerary information, guest documentation and branded messaging are accurate, compelling and consistently aligned across guest-facing and internal platforms. KEY RESPONSIBILITIES Content Management: Create, maintain and update itinerary content and guest documentation within our Content Management System to support global guided tours. Technical Execution: Leverage tools such as Umbraco, GitHub, Microsoft Office 365, Monday.com and Airtable to manage tasks, projects and content updates. Be prepared to adopt and learn new technologies as required. Quality Assurance: Proof brochure pages, website content and guest documentation with a sharp eye for grammar, consistency and brand alignment. Problem-Solving: Take initiative to troubleshoot technical or content-related issues, collaborating with internal teams to identify solutions. Team Collaboration: Work closely with members of the Travel Experiences and wider TTC teams to meet project deadlines, share insights and ensure effective communication throughout the content production process. ROLE SUCCESS CRITERIA • Demonstrate exceptional attention to detail and maintain high standards for content accuracy and consistency., • Show agility in learning and applying new tools and systems, embracing change in a dynamic work environment., • Manage multiple projects and deadlines with focus and efficiency, maintaining a proactive, solution-oriented mindset., • Communicate effectively across teams and departments, contributing to a collaborative and positive team culture., • Maintain a deep understanding of our brand identities and ensure all content aligns with TTC’s voice, style and global standards. KEY INDIVIDUAL TRAITS 1. Attention to detail: Carefully reviews work to ensure accuracy, quality, and completeness. Adheres to rules and procedures., 2. Collaborative: Builds strong relationships and works cross-functionally with a consultative, co-creative approach to influence and align others in a fast-paced environment., 3. Curiosity: Driven by lifelong learning, actively seeks new knowledge, skills, and perspectives to enhance performance and personal growth. Embraces continuous learning as a core value. YOUR EXPERIENCE AND EXPERTISE • Proven experience in content management and/or proofreading, ideally within the travel or tourism industry., • Strong command of the English language, with excellent grammar, spelling and editing skills., • Demonstrated geographical and cultural knowledge and an interest in global travel., • Comfortable working with digital tools and systems, with a demonstrated ability to learn new platforms quickly., • A team player with a positive attitude, capable of handling multiple tasks in a fast-paced, deadline-driven environment. TRAVEL BENEFITS & OTHER REQUIREMENTS • After your first year, you’ll receive an annual travel credit to travel on any one of our core travel brands. You will also be entitled to 2 weeks a year when you can work from anywhere in the world., • We offer a global training calendar, with a mix of virtual, in-person and e-learning courses. Plus, we help to support external learning and development courses that interest you and drive your passion., • You are entitled to two paid workdays each year to volunteer and make a difference in causes that are close to your heart. We believe that travel is a privilege, but with that privilege comes the responsibility to ensure we have a positive impact on the places we go, the people we meet and the wildlife we enjoy. We ensure that travel is a force for good and that we MAKE TRAVEL MATTER®. Throughout the year, our team members are expected to support and engage in sustainability initiatives within the office environment., • While travel is not mandatory for this role, team members are encouraged to participate in travel experiences that align with our mission and values. High-performing Content team members may be offered the opportunity to participate in on-the-road experiences designed to enhance product knowledge and increase brand awareness through direct engagement with our global offerings.

If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”. Are you an expert in Google Cloud Platform and DevOps Technologies? We have an interesting role for you - GCP DevOps Engineer Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. • Gain access to endless learning opportunities., • Be part of an exciting team where you will be challenged every day As a GCP DevOps Engineer, you will design, implement, and manage CI/CD pipelines and cloud infrastructure on Google Cloud Platform (GCP). Your responsibilities: • Design, implement, and manage CI/CD pipelines and cloud infrastructure on Google Cloud Platform (GCP)., • Collaborate with development and operations teams to automate deployments, monitor system performance, and ensure high availability and scalability of applications., • Build secure, reliable, and cost-optimized cloud environments., • Troubleshoot issues across environments and maintain compliance with security best practices., • Drive automation and infrastructure-as-code adoption for faster and more efficient delivery. Your Profile Essential skills/knowledge/experience: • Strong experience with Google Cloud Platform (GCP) services, • Google Kubernetes Engine (GKE), • VPC design, subnets, firewall rules, load balancers, • Cloud Storage, Cloud SQL, • Cloud Monitoring, Cloud Logging, Error Reporting, • Strong experience in DevOps & Automation, • CI/CD Pipelines: GitHub Actions, Jenkins, • Infrastructure as Code (IaC): Terraform (strong expertise), • Containerization: Docker, Kubernetes, • Scripting with Python, Shell, or Bash, • Monitoring and logging: Prometheus, Grafana, • Knowledge of service mesh (Istio), helm charts. Desirable skills/knowledge/experience: • Familiarity with working on Harness platform, • Knowledge of Agile/Scrum methodologies, • Familiarity with Pub/Sub, and Dataflow, • Experience with security hardening and IAM policies TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process. Next Steps: Application Process • Skill-Based discussion: This will be a level 1 interview with the project team, it can be via video or in-person. Details will be confirmed by your recruiter., • Managerial discussion: This discussion will focus on behavioural aspects and person-organisation fit., • HR Discussion: This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have. Beware of Fraudulent offers This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to to report any fraudulent activity. Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. Join us and do more of what matters. Apply online now.

Location: Stratford, London Rate: £400–£450 per day (Outside IR35) Contract Length: 6-12 months Client: Global Consultancy (End Client: Confidential Financial Institution) We are partnering with a global consultancy who are delivering an AI‑driven automation and orchestration programme for a major enterprise client. They require an experienced AI Engineer / Senior Python Engineer with strong microservices experience, LLM integration and AWS serverless expertise to support the build of an intelligent prompt‑orchestration platform powered by AWS Bedrock. Key Responsibilities • Develop and maintain Python microservices, serverless functions (AWS Lambda), backend APIs and Python packages, • Build LLM‑powered agents, orchestration flows and MCP servers using AWS Bedrock, • Analyse logs, traces and evaluation outputs from a live AI product environment, • Design and maintain REST APIs interacting with AWS services including OpenSearch, DynamoDB, Kendra and S3, • Build and maintain Step Functions and workflow orchestration components, • Collaborate closely with DevOps engineers on deployments, operational support and CI/CD, • Contribute to automation pipelines using GitHub Actions and enforce branching and packaging standards, • Support code reviews, documentation standards and engineering best practice, • Assist with release management using Maven, Nexus and established RTL processes Required Experience • Strong commercial experience as a Python Engineer, AI Engineer or Backend Engineer, • Expertise with Python frameworks such as FastAPI, Flask or Django, • Hands‑on experience building RESTful APIs and scalable backend services, • Solid understanding of API security, versioning, performance and distributed system design, • Strong knowledge of AWS serverless stack: Lambda, Step Functions, API Gateway, DynamoDB, OpenSearch, Kendra, S3, IAM, CloudWatch, • Experience integrating with LLMs (preferably AWS Bedrock), prompt workflows or vector databases, • Experience working with CI/CD pipelines (GitHub Actions / Jenkins), • Understanding of event‑driven architecture and serverless design patterns, • Strong communication skills and stakeholder-facing experience

Senior Full Stack JavaScript Developer Salary: £80,000 - £85,000 pa (depending on experience) plus benefits, perks and healthcare options Location: Hybrid / 2 x days per week - Travel to London Job Type: Permanent Security Clearance: This role is exclusively open to UK sole nationals who either hold or are eligible for Security Clearance (SC). We are on the lookout for a talented and motivated Full Stack JavaScript Developer to join a dynamic Engineering team. If you’re passionate about creating innovative web and mobile applications while ensuring high performance and scalability, this is your opportunity to make an impact! Your Role: • Provide technical leadership and mentorship to a team of developers, guiding them through collaboration, innovation and facilitation to ensure best practices and high-quality code., • Design, develop, and maintain both front-end components of web and mobile applications using React, Angular, TypeScript, Bootstrap 5, HTML, CSS, • Apply Test Driven Development (TDD) practices using tools such as Karma to ensure robust and reliable code., • Leverage AI-augmented development tools like GitHub Copilot to accelerate coding, improve consistency, and reduce boilerplate., • Collaborate with architects and other developers to design robust, scalable, and secure architectures for new projects and enhancements to existing systems., • Continuously improve our teams’ development processes, tools, and techniques to enhance productivity and product quality., • Work closely with clients and internal teams to understand requirements, provide technical guidance, and deliver solutions that exceed expectations. Your skills and experience • Design, develop, and maintain both front-end and back-end components of web and mobile applications using JavaScript, Node.js, and modern frameworks and libraries such as React, Angular, or Vue.js., • Proven experience in full stack JavaScript development, with a strong focus on Node.js and server-side development., • Experience using AI-assisted development tools (e.g. GitHub Copilot) to enhance productivity and code quality., • Experience of at least one leading Node framework (Express.js, Nest.js, Hapi.js), • Expertise in at least one modern front-end framework (Nest.js, Remix.js)., • A track record in a lead or senior developer role, with experience of mentoring and guiding development teams., • Proficiency in HTML5, CSS3, and JavaScript (ES6+). Security Clearance Requirements: • You must be eligible for Security Check (SC) clearance., • Applicants must have resided continuously in the UK for the past 5 years. If you’re ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you!

Bovis builds enduring partnerships, bringing together the right expertise, the right capabilities and the right resources to deliver the most complex projects. We know from decades of experience that successful delivery of multi-year complex projects requires close working relationships and collaboration through the supply chain. That’s why we share risk and invest in people and relationships at every level. We make things happen, anticipating challenges before they arise. Drawing on our highly experienced, multi-disciplinary teams, we bring a fresh perspective, tailoring our approach to the specific demands of the project, helping to simplify complexity and minimise risk. What we are recruiting for: This is a hands-on, technically expert role for someone who builds best-in-class Power BI solutions and is fluent in the full Microsoft data stack. You will be the primary developer of enterprise reporting across commercial, financial, operational, and project performance domains - working directly with business stakeholders to turn complex construction data into trusted, performant analytical outputs. You will work within a small, high-calibre Digital and Data function, reporting to the Head of BI & Reporting. This is not a management role: it is a senior individual contributor position where technical excellence, speed of delivery, and a deep understanding of construction data are the measures of success. Roles & responsibilities: Power BI Development & Data Modelling • Design, build, and optimise Power BI reports and dashboards from concept through to production deployment, across all business domains., • Develop complex semantic models with production-quality DAX - including advanced time intelligence, calculation groups, UDFs and performance-optimised measures at scale., • Write advanced M / Python transformations, including custom functions, parameterised queries, and API connections to source systems., • Manage model definitions using TMDL under source control (GitHub), following proper branching, review, and release practices. Data Integration & Pipeline Development • Build and maintain automated data pipelines (SQL, Power Platform, Azure Data Factory) that replace manual, spreadsheet-heavy reporting workflows., • Write complex SQL queries, stored procedures, and views to extract and transform data from ERP, commercial, and project control systems., • Integrate and normalise fragmented data across multiple source systems to deliver a reliable, reconciled analytical layer., • Configure streaming and real-time datasets for operational reporting that reflects current state, not yesterday’s extract. Construction Reporting Logic • Apply working knowledge of construction commercial and operational processes to ensure reports reflect how work is delivered and managed., • Challenge data that doesn’t align with construction reality and work with source system owners to fix it at the root. Quality, Governance & Documentation • Implement automated validation and exception-reporting layers to catch discrepancies before data reaches stakeholders., • Maintain data dictionaries, lineage documentation, and a technical data catalogue so that metric logic is transparent and not dependent on any single individual., • Apply row-level security, workspace governance, and enterprise refresh scheduling standards., • Manage all BI assets through governed deployment pipelines across development, test, and production environments. Stakeholder Partnership & Self-Service Enablement • Work directly with finance, commercial, operations, and project teams to understand priorities and translate them into actionable reporting outputs., • Build reusable, self-service reporting layers that reduce dependency on the central BI function for standard queries., • Communicate clearly what a report shows, what it doesn’t, and what caveats apply — in language stakeholders understand. Credentials • Degree in a quantitative or technical discipline (e.g., Mathematics, Engineering, Data Science, Finance) or equivalent demonstrated practical experience., • Evidence of continuous learning — recent certifications or a portfolio demonstrating advanced proficiency in Power BI, DAX, TMDL, and at least one of R or Python. Essential Skills, Knowledge, Experience, Behaviours Skills & Knowledge Power BI & DAX • Expert-level DAX: complex measures, advanced time intelligence, calculation groups, and model performance optimisation (DAX Studio, Tabular Editor), • Expert-level M / Python: advanced transformations, custom functions, parameterised queries, API connections, custom visuals., • Strong working knowledge of TMDL for semantic model version control, • Deployment pipelines across dev, test, and production environments, • Streaming and real-time datasets for live operational reporting SQL & Data Engineering • Strong SQL: complex queries, stored procedures, views, and CTEs for extraction and transformation., • Experience building automated data pipelines using SQL, Power Platform, or Azure Data Factory., • Experience of Power Platform (Apps, Automate, Pages ideally with HTML, CSS, React knowledge) Data reconciliation across enterprise data systems and project control systems with no pre-existing single source of truth. Source Control • GitHub (or equivalent): managing BI code, TMDL definitions, and deployment pipelines with branching, review, and release workflows Statistical Analysis • R or Python for descriptive and inferential statistics, trend analysis, variance analysis, and data exploration in support of commercial insight Construction Knowledge • Working understanding of construction commercial processes: CVRs, cost-to-complete, revenue recognition, margin analysis, subcontractor accounts., • Familiarity with programme management data: float, critical path, earned value, and how reported progress relates to reality on site., • Awareness of how construction projects are financially structured: prelims, measured works, variations, provisional sums, retention. Communication • Clear, precise communication: able to explain what a report shows, what it doesn’t show, and what caveats apply., • Comfortable working directly with senior stakeholders across finance, commercial, and operations. Experience • Extensive experience of hands-on Power BI development in a complex, multi-system enterprise environment., • A demonstrable background of data engineering, semantic models, sql query, web scraping, with direct exposure to commercial and operational data., • Demonstrated track record of replacing manual, spreadsheet-heavy reporting with automated, governed BI solutions., • Experience reconciling and normalising fragmented data across ERP, commercial, and quality systems., • Proven ability to work autonomously at pace, managing competing priorities without sacrificing accuracy. Behaviours • Technical Rigour: You treat every output with the understanding that a single discrepancy erodes trust in the entire reporting function. Accuracy is non-negotiable., • Operational Intuition: You interpret data through its real-world context and proactively flag numbers that don’t align with construction reality., • Root-Cause Orientation: You refuse to paper over data quality issues in the reporting layer. You challenge and fix problems at the source., • Self-Directed Delivery: You manage your own workload, prioritise effectively, and deliver at pace without needing close supervision., • Engineering Pragmatism: You know when to provide a rapid tactical answer and when to invest in a properly engineered long-term solution., • Continuous Improvement: You actively seek better ways to build, automate, and govern reporting — and stay current with the Microsoft data stack.

Job Title: Data Engineer Location: London Type: Permanent, Full-time Department: Group IT Reports to: Software Development Manager IDEALY HAS PHINSYS EXPERIENCE About the Role We are looking for a skilled Data Engineer to join a dynamic IT team within a well-established, regulated organisation. This role offers the opportunity to work on critical data platforms, support financial reporting processes, and play a key part in a strategic transition to cloud-based technologies. You will be responsible for maintaining and developing data solutions, supporting SQL Server environments, and contributing to the design of modern, scalable data architecture. Key Responsibilities • Support critical data processing between core systems and the Enterprise Data Warehouse, ensuring accurate and timely reporting, • Manage and monitor ETL pipelines, identifying and resolving data issues and performance bottlenecks, • Act as a technical point of contact during financial close periods (monthly, quarterly, year-end), • Perform root cause analysis on data issues and implement effective solutions, • Collaborate with IT and business teams to resolve data challenges and improve processes, • Identify opportunities to automate and optimise manual workflows, • Contribute to the design of a cloud-based “Single Source of Truth” data platform, • Design, develop and maintain ETL workflows using modern tools (e.g. Azure Data Factory, Databricks), • Optimise database performance through query tuning, indexing and partitioning strategies, • Support CI/CD practices using Azure DevOps, • Produce and maintain technical documentation, • Provide ad-hoc data extraction, reporting, and general IT support as required Technical Skills & Experience • Strong experience with SQL Server, including T-SQL, stored procedures, and performance tuning, • Solid understanding of ETL processes and tools (SSIS, Azure Data Factory), • Experience with cloud platforms such as Azure (Synapse, Databricks, Fabric) or Snowflake, • Familiarity with Azure DevOps and source control best practices, • Experience working with Visual Studio (VS2022+), • Knowledge of data warehousing concepts and architectures Desirable: • Experience supporting financial systems (e.g. accounting or policy systems), • Azure DBA experience, • Knowledge of Azure Analysis Services or SSAS, • Experience with C#, ASP.NET MVC, or web application development, • Familiarity with AI tools such as GitHub Copilot, • Exposure to VBA or SharePoint Online Skills & Attributes • Strong analytical and problem-solving skills, • Ability to work effectively with business stakeholders and gather requirements, • Excellent communication skills (written and verbal), • Ability to prioritise and perform under pressure, • Collaborative team player with strong relationship-building skills, • Familiarity with Agile methodologies

🌍 Join the team powering the future of vision AI Hello, hola, 你好, こんにちは, नमस्ते, hallo, bonjour! Thanks for stopping by! We know your time is valuable, so here's what makes Ultralytics special. ⚡ Who we are At Ultralytics, we're on a mission to simplify AI for everyone. As the creators of the world's leading Ultralytics YOLO models, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications. Following our $30M Series A round, we're expanding rapidly across our global hubs in London, Madrid, and Shenzhen. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI, where ambition meets impact, and ideas become reality. We move fast. We build boldly. We execute with purpose. And we do it together. 💼 About the role Looking for your first role in Customer Success? This could be the role for you, as a Customer Success Representative, you'll own the day-to-day success, retention, and operational rhythm of a large portfolio of 200+ high-volume SaaS accounts using Ultralytics YOLO across their products and workflows. Your mission is to keep customers engaged, supported, and confident in their use of our tool, so they stay and grow with us. You'll operate within our established Customer Success frameworks, using systems like HubSpot and our internal playbooks to manage touchpoints, monitor customer health, and resolve issues efficiently. You’ll guide customers toward self-sufficiency by connecting them to key resources like our documentation, YOLO model guides, and how-to tutorials. Working from our London hub, you'll partner closely with our CS Enterprise team and Account Executives, who own strategic enterprise relationships. You’ll ensure clean operations, proactive risk management, and smooth execution, while identifying and escalating signals of expansion opportunities for AEs to pursue. This role is ideal for a highly organized, proactive operator with 1-3 years of customer-facing experience in SaaS or technical products, who’s comfortable with detail, responsive communication, and translating technical questions into clear, actionable solutions. 🚀 What you'll do Account management & retention • Own a portfolio of 200+ active customers, driving strong retention and product adoption., • Run structured touchpoints (email, calls, in-app) aligned with existing CS playbooks and cadences., • Monitor and act on customer health metrics, usage trends, and churn risks., • Guide customers to self-serve resources like docs, examples, and solutions., • Capture feedback and surface patterns to improve customer workflows and outcomes. Operations, tooling & workflows • Maintain accurate account data, timelines, and activities in HubSpot and related tools., • Administer CS workflows, tasks, and automations to keep the team running efficiently., • Triage, prioritize, and follow through on support issues, coordinating with Support and CS Enterprise., • Standardize routine processes (renewal prep, QBR inputs, usage reports) for your account set., • Use dashboards to track portfolio performance and flag anomalies early. Collaboration & customer advocacy • Partner closely with Account Executives on enterprise accounts to align on strategy and next steps., • Coordinate with Product and Engineering to clarify technical questions and share customer insights., • Direct customers to the right channels (from community discussions to GitHub issues) to unblock adoption., • Contribute to internal knowledge bases and FAQs that reduce repeat questions and support load., • Represent the customer voice in internal discussions, championing usability and reliability. 🧠 Skills and experience Core requirements • 1-3 years in Customer Success, SDR, or customer-facing roles in SaaS or technical products., • Experience managing a large book of business (200+ accounts) with a focus on retention and satisfaction., • Proficiency with CRM tools (ideally HubSpot) and structured workflows for tasks, notes, and reporting., • Strong written and verbal communication skills; able to clarify complex or technical topics for non-experts. 🌟 Cultural fit At Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience — building fast, learning constantly, and delivering measurable impact. You'll thrive here if you: • Take ownership and deliver results with focus and accountability., • Combine strategic thinking with hands-on execution., • Value excellence, grit, and creativity in equal measure., • See collaboration as the foundation for meaningful progress. Our culture is built around our core values: • Relentless progress: Constant evolution and improvement., • Strive for excellence: Perseverance and attention to detail., • Actions, not words: Focus on delivering meaningful results., • Act with urgency: Seize fleeting opportunities., • Open access to all: Transparent communication and collaboration. Learn more in our Ultralytics Handbook. 💰 Compensation and benefits We reward excellence and impact — not just tenure or title. • Competitive salary: Reflecting your experience and contribution., • Equity packages: We want our success to be yours too., • On-site collaboration: Work with passionate builders in one of our global hubs., • Flexible working hours: We value results over routines., • Generous time off: 24 vacation days, your birthday off, plus local holidays., • Tech & tools: Work on cutting-edge AI projects that power millions of devices., • Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3., • Learning & development: Dedicated budget for personal and professional growth., • High impact: Your work will shape the future of vision AI. 👉 Check out ultralytics.com/careers for more about our culture, values, and teams. 🌎 Where and how you can work We believe great work happens where passion meets purpose. • This role is on-site at our London hub. Learn more about our spaces in the Ultralytics Offices guide., • Applicants must have legal authorization to work in the country of application. We're an in-office team that values daily collaboration, energy, and connection. Being together helps us move faster, learn from one another, and celebrate wins as they happen. 🚀 Why join us We're not just building models — we're building the ecosystem powering the future of vision AI. If you're ready to build, move fast, and make an impact — this is your moment. ⚡ Ready to build the ecosystem powering the future of vision AI? Apply now.

We are GlobalLogic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. At GlobalLogic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century. We are seeking a Contract Data Integration Engineer within a niche team to provide data/integration, data quality, pipelines and integration layers to clients' platforms. Entailing pipeline development and maintenance, data quality profiling and monitoring, reconciliation and enrichment workflows, graph modelling, and stakeholder reporting on metrics. Ideally you will possess data quality analyst capabilities and/or focus on pipeline architecture, Kafka integration patterns, and export service development. These roles will entail writing production code, both will engage with data quality, and both will contribute to the broader service codebase. Our Contract Assignments are Inside IR35, hybrid working. Initially 6-9 months. About the role/Experience with: • Experience with Python for data pipelines, export services, ETL, reconciliation, profiling scripts, • Data quality assessment, • Apache Kafka, • PostgreSQL for data modelling, query design, migrations etc, • Data modelling and schema design, • Experience of C# to be able to contribute to existing service/integration codebase, • Memgraph or other graph databases / Cypher, • Jupyter notebooks; ETL/ELT; Git/GitHub workflows and automated testing, • Elasticsearch, Data visualisation, CI/CD About you (ideally): As a Data Integration Engineer you’ll be integral to our client facing delivery teams, working with clients to design and build their technology enabled platform solutions. ● You will be responsible for providing technical thought leadership on client engagements ● You will actively contribute to development team activities and technical solutions where strong attention to detail is required ● You will be hands on in projects, taking a lead in the design and development of solutions as well as providing technical guidance and validation to the wider team, working on critical cloud-based complex application solutions that can be deployed automatically ● You will be responsible for stakeholder management, building client relationships and identifying new opportunities We hire based on expertise, potential and enthusiasm to make a difference, then we give you the tools and skills you need to create impact. This role is based in our UK&I region. Why work at GlobalLogic. Our goal is to build an inclusive, positive culture where everyone can feel comfortable being themselves, empowering our people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation.

Role Summary Aubay is seeking a Principal Data Engineer to join a leading energy client’s team who will conceptualize and design data foundations and end-to-end solutions, including data platforms, to maximize value from data. The role promotes a data-driven culture across IT teams and wider business stakeholders, acting as a subject matter expert and thought partner in defining the vision and data strategy for robust, future-ready IT solutions. Required skills and experience • Strong proficiency with cloud platforms: AWS, Azure, SAP, • Expertise in ELT development and automation with scalable pipeline design, • Mastery of data modeling techniques, • Skilled in data ingestion, integration, and transformation using modern tools (Data Factory, Databricks, SQL DB, Synapse, Glue, Airflow, Kinesis, Redshift), • Hands-on experience with DevOps tooling: GitHub Actions, Azure DevOps, SonarQube, PyTest, • Proven ability to coordinate incident, problem, and change management processes, • Strong communication skills with both technical and non-technical stakeholders, • Demonstrated experience in technical documentation and maintaining high-quality solution documentation Desired skills and experience • Experience in project management or leading Agile/Scrum teams, • Experience with financial or operational planning tools (e.g., SAP BPC), • Familiarity with external partner ecosystems and cross-functional delivery models, • Ability to mentor and guide junior engineers, • Experience contributing to enterprise-scale data transformation projects, • Knowledge of trading, supply, or energy domain data models, • Experience with MKDocs documentation Role Responsibilities • Design and deliver scalable, cloud-based data engineering solutions, • Lead efforts to modernize data platforms, including migration of legacy systems to cloud infrastructure, • Manage data ingestion, integration, and transformation workflows while ensuring high standards of data quality, governance, and performance, • Collaborate with IT and business stakeholders to translate strategic goals into actionable data architecture and solutions, • Act as a subject matter expert, mentoring junior engineers and providing technical guidance, • Coordinate incident, problem, and change management processes, ensuring minimal disruption and timely resolution, • Present technical findings, reports, and recommendations to stakeholders, • Drive implementation efficiency across pilots and enterprise projects to maximize value delivery, • Contribute to community-building initiatives such as Centres of Excellence (CoE) and Communities of Practice (CoP)

My client is seeking to recruit a Fullstack Software Engineer on an initial 12 month contract based in London. It is hybrid and will require 2x days onsite per week. \n\nKey responsibilities\n\nFront end implementation for a React application\nVisualizing and interacting with scientific data and workflow progression\nIntegration of AI/ML components with frontend, backend, data and compute infrastructure\nResponsible for high quality software implementations according to best practices, including automated test suites and documentation\nDevelop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them\nParticipate in code reviews, continuously improving personal standards as well as the wider team and product\nLiaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products \n\nBasic qualifications:\n\nDemonstrated experience with frontend software development (e.g. React)\nDemonstrated experience of Python development (e.g. using FastAPI)\nBachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience\nCloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential\nStrong skills in JavaScript/TypeScript and Python, ensuring best practices are followed for clean and scalable code\nDemonstrated ability to work directly with designers, particularly using Figma, to convert design prototypes into engaging and interactive applications\nExperience in using automated testing tools, including Playwright and Cypress, to create, maintain, and execute comprehensive test suites\nSound understanding of web development best practices, modern design principles, and continuous integration workflows\nKnowledge of agile practices and able to perform in agile software development environments\nStrong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often \n\nPreferred qualifications:\n\nExperience with Docker or containerized applications, especially architecture of multi-container applications\nDemonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations\nKnowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)

Required Skills & Experience Strong experience in automation testing using Selenium / Playwright / Cypress Proficiency in programming languages such as Java, Python, or C# Experience with API testing (Postman, REST Assured, or similar) Knowledge of testing frameworks (TestNG, JUnit, Pytest, etc.) Familiarity with CI/CD tools (Jenkins, Azure DevOps, GitHub Actions) Good understanding of SDLC, STLC, and Agile methodologies Experience with version control systems (Git) Strong analytical and problem-solving skills

Purpose The Talent Partner (Marketing/Comms) will be embedded alongside our partners and their internal talent teams to deeply understand hiring challenges, organisational structures, and individual team dynamics. You’ll own and develop hiring strategies that support our partners’ growth plans. Internally at Elements, you will drive the continued success of those around you through collaboration, knowledge sharing, and mentoring. You will have the opportunity to contribute to internal initiatives that further develop our company culture and ways of working. Role Responsibilities • Partner with key stakeholders to assess their talent requirements and facilitate a successful hiring process., • Build and maintain long-term relationships with hiring managers and key decision-makers across the business., • Deliver the end-to-end hiring process for roles at all levels, including running effective briefing sessions with hiring managers, applicant screening, compiling strong longlists and shortlists, candidate briefings, interview scheduling, and facilitating feedback sessions to support the successful closing of roles with high-calibre hires., • Identify and reach out to high-calibre, passive candidates, and maintain relevant candidate pools—engaging them on our partners’ behalf through multiple channels, ensuring the partner’s brand is conveyed accurately at all times., • Manage active candidates with regular updates on application progress, interview briefings, and detailed, sensitive feedback to ensure an excellent candidate experience and nurture long-term relationships., • Lead weekly delivery syncs, escalating issues appropriately and proposing solutions to mitigate risks in a timely manner., • Take responsibility for your own development and proactively seek opportunities to grow., • Support the development of junior team members and/or peers through mentoring and knowledge sharing (e.g., onboarding or training)., • Broaden your domain knowledge, increase your understanding of market conditions, and stay up to date on the latest trends and developments within relevant sectors to continually build expertise., • Maintain accurate data and produce relevant reports as needed to support effective client communication and commercial decision-making., • Present and validate your own data reporting to the end partner., • Ensure full compliance with GDPR guidelines throughout the hiring process., • Conduct internal interviews and consult on improvements to Elements’ processes., • Undertake any other ad hoc projects as required. Your Profile • Available to work 3 days on site, • Extensive experience within the Talent industry, either fully in-house or a blend of in-house and RPO, • Strong knowledge across Marketing/Comms, • Demonstrable experience with diverse sourcing methods, including Boolean searching, X-ray searching, Github and Slack., • Ability to source for a high volume of roles across levels—from junior to executive—within agreed timeframes., • Previous experience leading and managing people., • Ability to think creatively and propose effective solutions., • Ability to work accurately at pace and navigate ambiguity., • Experience working collaboratively in fast-paced environments and getting things done efficiently., • Strong understanding and analysis of hiring metrics, with the ability to improve processes where needed., • Approachable, adaptable, resilient, and equipped with a “can-do” attitude., • Driven by delivering exceptional results and building strong business partnerships., • Excellent verbal and written communication skills., • Strong relationship-building skills, enabling effective collaboration at all levels., • Strong organisational and planning skills to manage time effectively and meet deadlines., • Ability to influence stakeholders to ensure sound decision-making., • Proactive in identifying potential challenges or future hiring needs. Alignment to Our Pillars Set the Standard – Every day, you spot opportunities to constructively shake things up. Inspire the Change – There’s no blueprint for the future, and you embrace challenges and change. Forever Curious – You’re not afraid to make mistakes because you learn from them. Together Incredible – Even superheroes know that teams are the real heroes, and so do we. You’re Real – You’re true to yourself. We celebrate diversity, and you’ll feel right at home here. Whoever you are and whoever you’re talking to, you treat everyone with respect.

• Strong SDLC expertise, • Hands-on experience with AI/Agentic tools (preferably GitHub Copilot), • Proficient in modern engineering tools including Jira, Confluence, VS Code/IntelliJ, • Experience in agent enablement-training agents, building knowledge bases, and monitoring performance

Purpose The Talent Partner (Tech - Software Engineering) will be embedded alongside our partners and their internal talent teams to deeply understand hiring challenges, organisational structures, and individual team dynamics. You’ll own and develop hiring strategies that support our partners’ growth plans. Internally at Elements, you will drive the continued success of those around you through collaboration, knowledge sharing, and mentoring. You will have the opportunity to contribute to internal initiatives that further develop our company culture and ways of working. Role Responsibilities • Partner with key stakeholders to assess their talent requirements and facilitate a successful hiring process., • Build and maintain long-term relationships with hiring managers and key decision-makers across the business., • Deliver the end-to-end hiring process for roles at all levels, including running effective briefing sessions with hiring managers, applicant screening, compiling strong longlists and shortlists, candidate briefings, interview scheduling, and facilitating feedback sessions to support the successful closing of roles with high-calibre hires., • Identify and reach out to high-calibre, passive candidates, and maintain relevant candidate pools—engaging them on our partners’ behalf through multiple channels, ensuring the partner’s brand is conveyed accurately at all times., • Manage active candidates with regular updates on application progress, interview briefings, and detailed, sensitive feedback to ensure an excellent candidate experience and nurture long-term relationships., • Lead weekly delivery syncs, escalating issues appropriately and proposing solutions to mitigate risks in a timely manner., • Take responsibility for your own development and proactively seek opportunities to grow., • Support the development of junior team members and/or peers through mentoring and knowledge sharing (e.g., onboarding or training)., • Broaden your domain knowledge, increase your understanding of market conditions, and stay up to date on the latest trends and developments within relevant sectors to continually build expertise., • Maintain accurate data and produce relevant reports as needed to support effective client communication and commercial decision-making., • Present and validate your own data reporting to the end partner., • Ensure full compliance with GDPR guidelines throughout the hiring process., • Conduct internal interviews and consult on improvements to Elements’ processes., • Undertake any other ad hoc projects as required. Your Profile • Available to work 2 or 3 days on site, • Extensive experience within the Talent industry, either fully in-house or a blend of in-house and RPO, • Strong knowledge across a variety of Technical Domains (Software engineering Preferred), • Demonstrable experience with diverse sourcing methods, including Boolean searching, X-ray searching, Github and Slack., • Ability to source for a high volume of roles across levels—from junior to executive—within agreed timeframes., • Previous experience leading and managing people., • Ability to think creatively and propose effective solutions., • Ability to work accurately at pace and navigate ambiguity., • Experience working collaboratively in fast-paced environments and getting things done efficiently., • Strong understanding and analysis of hiring metrics, with the ability to improve processes where needed., • Approachable, adaptable, resilient, and equipped with a “can-do” attitude., • Driven by delivering exceptional results and building strong business partnerships., • Excellent verbal and written communication skills., • Strong relationship-building skills, enabling effective collaboration at all levels., • Strong organisational and planning skills to manage time effectively and meet deadlines., • Ability to influence stakeholders to ensure sound decision-making., • Proactive in identifying potential challenges or future hiring needs. Alignment to Our Pillars Set the Standard – Every day, you spot opportunities to constructively shake things up. Inspire the Change – There’s no blueprint for the future, and you embrace challenges and change. Forever Curious – You’re not afraid to make mistakes because you learn from them. Together Incredible – Even superheroes know that teams are the real heroes, and so do we. You’re Real – You’re true to yourself. We celebrate diversity, and you’ll feel right at home here. Whoever you are and whoever you’re talking to, you treat everyone with respect.

Data Engineer - SC Cleared 6 Month Contract Hybrid - 2 days per week onsite Please note: Active SC Clearance is required for this role A leading organisation within the UK financial sector is embarking on a major data transformation programme. They are looking for an experienced Data Engineer to help design and deliver a modern, cloud‑first data platform that will underpin some of the organisation’s most critical functions. Responsibilities: • Design, build and deploy scalable, secure data solutions using Azure Databricks, Data Factory and Data Lake Storage., • Develop and optimise advanced data pipelines with Python, SQL, Spark/PySpark and Delta Lake., • Champion strong data quality, governance and observability practices., • Modernise legacy systems and support large-scale migrations into Azure., • Provide technical leadership, set engineering standards and contribute to architectural decisions., • Mentor engineers and foster a culture of continuous improvement., • Work closely with architecture, analytics and business teams to align engineering solutions with organisational needs. Minimum Criteria • Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory., • Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing., • Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions, Azure DevOps)., • Strong understanding of data architecture principles and cloud-native design patterns. Essential Criteria • Demonstrated ability to lead technical delivery, mentor engineering teams and collaborate with stakeholders to ensure alignment between data solutions and business strategy., • Proficiency in Linux/Unix environments and shell scripting., • Deep understanding of source control, testing strategies, and agile development practices., • Self-motivated with a strategic mindset and a passion for driving innovation in data engineering. Desirable Criteria • Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives., • Familiarity with Apache Airflow, data modelling, and metadata management, • Experience influencing enterprise data strategy and contributing to architectural governance. To apply for this position please submit your CV.

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Role Overview: We are seeking a highly skilled Azure Web Application Developer to design, develop, and deploy cloud-native web applications on Microsoft Azure. The ideal candidate will have strong expertise in modern web frameworks, Azure services, and secure application development practices. This role involves working on a Java/Spring-based platform hosted on AKS, ensuring scalability, security, and performance. Key Responsibilities: • Design and develop responsive web applications using Angular, React, or Next.js with TypeScript and Tailwind CSS., • Implement secure authentication and authorization using Microsoft Azure AD B2C (OIDC/OAuth2, MFA)., • Integrate with backend services built on Java Spring Boot running on AKS., • Work with Azure Database for PostgreSQL and implement RBAC + ABAC for data isolation and security., • Configure and manage Azure Front Door (WAF + CDN) for global traffic distribution and security., • Develop and maintain APIs using Azure API Management., • Implement event-driven architecture using Azure Event Hubs., • Ensure observability and monitoring through Azure Monitor., • Collaborate on CI/CD pipelines and Infrastructure as Code using Azure DevOps., • Work closely with UX/UI teams to deliver accessible and user-friendly interfaces., • Ensure compliance with security and governance standards. Required Skills & Experience: • Strong proficiency in Angular, React, or Next.js, and TypeScript., • Hands-on experience with Microsoft Azure services (Azure AD B2C, Front Door, API Management, Event Hubs, Azure Monitor)., • Experience with Java Spring Boot and containerized deployments on Azure Kubernetes Service (AKS)., • Knowledge of RBAC/ABAC, PostgreSQL Row-Level Security, and secure coding practices., • Familiarity with CI/CD pipelines and IaC using Azure DevOps., • Understanding of cloud-native architecture and microservices., • Strong problem-solving and debugging skills., • Excellent communication and collaboration abilities. Preferred Qualifications: • Experience with Camunda for workflow and rules., • Exposure to AI coding tools like GitHub Copilot., • Knowledge of accessibility standards (WCAG AA)., • Certification in Microsoft Azure Developer Associate or similar.

🚀Join the team powering the future of vision AI Hello, hola, 你好, こんにちは, नमस्ते, hallo, bonjour! Thanks for stopping by — we know your time is valuable, so here's what makes Ultralytics special. 🔥 Who we are At Ultralytics, we're on a mission to simplify AI for everyone. As the creators of the world's leading Ultralytics YOLO models, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications. Following our $30M Series A round, we're expanding rapidly across our global hubs in London, Madrid, and Shenzhen. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI — where ambition meets impact, and ideas become reality. We move fast. We build boldly. We execute with purpose. And we do it together. 👩 About the role As Senior Talent Acquisition Lead, you’ll own Ultralytics’ global hiring engine end-to-end — building strategy, systems, and an exceptional candidate experience that scales us from ~50 to 100+ employees across the UK, Spain, and China. This is a hands-on, high-ownership individual contributor role for someone who can operate at Series A/B speed while raising the bar on quality. You’ll run full-cycle recruiting across technical and GTM roles, including ML, computer vision, and applied engineering teams shipping YOLO into production. You’ll partner tightly with founders and hiring managers to translate headcount plans into measurable pipelines, strong offers, and predictable hiring outcomes. You’ll also be the “builder” behind our recruiting stack and process — from ATS workflows to sourcing strategy to analytics — ensuring we hire world-class talent while staying aligned with our Mission & Values. ✅ What you'll do Strategy & execution • Own global hiring strategy across London, Madrid, and Shenzhen with clear quarterly goals and scorecards., • Build scalable recruiting processes in Ashby and align onboarding handoffs in Rippling., • Translate org plans into calibrated role kickoffs, interview plans, and hiring manager operating rhythms., • Run compensation planning inputs (ranges, leveling, offers) with market data and internal consistency. Sourcing & pipeline development • Lead proactive sourcing using LinkedIn Recruiter, Boolean search, GitHub, and community signals., • Build repeatable pipelines for ML/AI, computer vision, and core engineering roles tied to our docs ecosystem., • Develop talent maps for priority markets (UK/Spain/China) and maintain warmed executive and specialist networks., • Improve employer branding through high-signal role narratives and visibility across our community. Candidate experience & closing • Deliver a fast, respectful process with crisp communication, feedback loops, and strong closing motion., • Lead offer strategy and negotiation while maintaining fairness, transparency, and speed., • Partner with teams to improve interview quality, reduce bias, and increase signal-to-noise in hiring decisions., • Track funnel metrics and iterate weekly to improve conversion, time-to-fill, and quality of hire. 🍌 Skills and experience Core requirements • 7+ years in full-cycle recruiting with Series A/B scale-up experience and high ownership for outcomes., • Track record scaling a startup from ~50 to 100+ employees across multiple functions and geographies., • Deep expertise with ATS administration, workflow design, and reporting (Ashby strongly preferred)., • Strong sourcing fundamentals (LinkedIn Recruiter, Boolean, GitHub) and comfort with high-volume roles when needed., • Proven hiring manager partnership skills: role clarity, calibration, process discipline, and decisive execution., • Experience supporting global hiring across time zones (UK/Spain/China) with clean coordination and follow-through., • Strong compensation literacy: ranges, leveling, offer construction, and negotiation in competitive markets. Nice to have • Technical recruiting depth in ML/AI, computer vision, and applied research/engineering roles., • Experience hiring for GTM orgs (Sales, Solutions, Customer Success, Partnerships) in developer-led products., • Familiarity with OKR frameworks and operating cadences that drive measurable recruiting outcomes., • Prior exposure to open-source or developer ecosystems (e.g., Ultralytics GitHub)., • Passion for what we build and how it’s used by teams worldwide in our Guides. 🤝 Cultural fit At Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience — building fast, learning constantly, and delivering measurable impact. You'll thrive here if you: • Take ownership and deliver results with focus and accountability., • Combine strategic thinking with hands-on execution., • Value excellence, grit, and creativity in equal measure., • See collaboration as the foundation for meaningful progress. Our culture is built around our core values: • Relentless progress: Constant evolution and improvement., • Strive for excellence: Perseverance and attention to detail., • Actions, not words: Focus on delivering meaningful results., • Act with urgency: Seize fleeting opportunities., • Open access to all: Transparent communication and collaboration. Learn more in our Ultralytics Handbook and values. 💰 Compensation and benefits We reward excellence and impact — not just tenure or title. • Competitive salary: Reflecting your experience and contribution., • Equity packages: We want our success to be yours too., • On-site collaboration: Work with passionate builders in one of our global hubs., • Flexible working hours: We value results over routines., • Generous time off: 24 vacation days, your birthday off, plus local holidays., • Tech & tools: Work on cutting-edge AI projects that power millions of devices., • Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3., • Learning & development: Dedicated budget for personal and professional growth., • High impact: Your work will shape the future of vision AI. Check out ultralytics.com/careers for more about our culture, values, and teams. 👩 💻 Where and how you can work We believe great work happens where passion meets purpose. • This role is on-site at our London hub., • Applicants must have legal authorization to work in the country of application. We're an in-office team that values daily collaboration, energy, and connection. Being together helps us move faster, learn from one another, and celebrate wins as they happen. Why join us We're not just building models — we're building the ecosystem powering the future of vision AI. If you're ready to build, move fast, and make an impact — this is your moment. Ready to build the ecosystem powering the future of vision AI? Apply now.

We are Remobi - We empower businesses to scale, innovate, and achieve their goals through high-quality technical solutions delivered by high performing, high quality, REMOTE nearshore technology teams. We are looking for a Delivery Recruiter / Talent Acquisition Specialist / In-house Tech Recruiter to support our next phase of growth. This is an ideal role for someone with 1-2 years of experience that is looking to work with a fast-growing consultancy that is experiencing tremendous growth! About the role: Talent Sourcing: • Identify and engage top tech talent through various sourcing channels, including LinkedIn, job boards, social media, forums, and coding platforms (e.g., GitHub, Stack Overflow)., • Source for tech talent across Software Engineering, Big Data & AI, DevOps & Cloud., • Conduct Boolean and X-ray searches to uncover hidden talent., • Strong understanding of technology roles, tools, and industry trends., • Effectively manage a high-volume recruitment load, meet timelines, and demonstrate organized prioritization. Pipeline Development: • Build and maintain a robust pipeline of passive candidates for current and future technical roles., • Nurture relationships with potential candidates to ensure long-term engagement. Screening and Evaluation: • Conduct initial candidate screenings to assess technical skills, cultural fit, and interest., • Present qualified candidates with detailed notes and recommendations. Technology and Tools: • Leverage applicant tracking systems (ATS), customer relationship management (CRM) software, and sourcing tools to manage candidate data., • Stay updated on emerging sourcing technologies and best practices to improve efficiency. Metrics and Reporting: • Track and report on sourcing activities, conversion rates, and time-to-fill metrics., • Identify areas for improvement and recommend process optimizations. About you: • At least 1 year of experience working in a similar capability (Agency Recruitment or Inhouse), • Experience working in Contract Recruitment (Must) and Permanent Recruitment (desirable)., • Be accountable for owning SLA’s and work in an output-based environment, including remote working., • Excellent communication skills, • Research and organisational skills., • You have excellent negotiation skills., • Experience Recruiting in distributed IT teams particularly in Central and South and Eastern Europe – desirable. Position Details: • Base salary: up to £35,000 per year., • Bonus: 23% bonus, paid quarterly (based on individual performance), • Hybrid working week 3 days in the office (Tuesday, Wednesday & Thursday), 2 work-from-home (Monday & Friday), • Location: Liverpool Street/Shoreditch, • Working Hours: 37 per week., • Holiday 25 days (pro rata), • Private pension & life assurance, • Health Shield Cash Plan, including gym and dental discounts, • Strong work-life balance - early finishes on Mondays at 4:30pm, and Fridays at 3:30pm, • Dedicated in-house Learning & Development team, • Quarterly Lunch Club incentives and High Achievers Holidays abroad!, • Home office loan scheme & cycle-to-work programme Apply now or email to find out more.

Europe or Remote (Permanent/Contract) Key Responsibilities • Serve as a technical subject matter expert on Endur, providing guidance and support throughout the project lifecycle., • Lead the technical implementation of Endur solutions, including enhancements, system configuration, data migration and version upgrades., • Design and architect object-oriented Endur-based solutions that meet client needs and adhere to industry standards for scalability, robustness, maintainability, and integration with other components and systems in a technology landscape, • Collaborate with clients to determine technical requirements and drive technical change management initiatives., • Conduct analysis of existing systems and processes to identify areas for improvement., • Collaborate with cross-functional teams to ensure successful project delivery and client satisfaction., • Provide guidance and training to junior consultants on Endur functionality and ETRM/CTRM topics., • Provide industry and functional advisory as needed to ensure alignment with client goals., • Maintain effective communication with clients and internal stakeholders, managing expectations., • Prepare solution and technical design documentation and oversee quality of other technical consultants' outputs. Skills • Endur Development: Considerable experience in developing and customizing JVS and / or OpenComponents (Java or .NET C#) to extend Endur functionality., • Connex Integration: Expertise in integrating Endur with external systems and data sources using Connex, ensuring seamless data exchange and interoperability., • Oracle and MS SQL Server Database Management: Strong understanding of Oracle and MS SQL Server databases, including database design, administration, optimisation, and performance tuning., • .NET C# and / or Java Development: Proficiency in .NET C# and Java development for building custom applications, modules, and integrations within the Endur ecosystem., • Endur Gateways and Accelerators: Demonstrate in-depth knowledge of Endur Gateways and Accelerators., • Endur Grid: Demonstrate in-depth knowledge of Endur Grid design and configuration., • Endur Modules: Demonstrate good working knowledge in key modules of Endur and commodity/energy operations., • Endur Configuration: Proficiency in configuring Endur modules, workflows, and business processes to align with client requirements and industry best practices., • Jira, DevOps, GitHub: Experience in utilizing Jira for project management, DevOps methodologies for continuous integration and deployment, and GitHub for version control and collaboration., • Cloud Platforms (AWS, Azure): Familiarity with cloud platforms such as AWS (Amazon Web Services) and / or Azure, including knowledge of cloud services and infrastructure for hosting, scaling, and managing Endur environments. Knowledge and experience of the ION Cloud and IEM tools is also desirable., • Third Party Tools: Knowledge and experience of test automation and environment management tools., • Excellent interpersonal skills and stakeholder management., • Good written and verbal communication skills., • Multi-tasking and Project Management skills., • Strong organisational & analytical skills and attention to detail., • Ability to thrive in a fast-paced, detailed oriented environment and work independently or in a team. Required Experience • Bachelor's degree in Computer Science, Finance, Accounting, Engineering, Economics, or equivalent experience in a related field., • 7+ years hands-on with Endur as a senior / lead developer or technical specialist with working knowledge of V19 and above., • At least 10+ years of industry work experience with 3+ years of experience in comparable consulting services., • Should have been a key part of at least two large engagements for Endur end-to-end implementation or upgrade projects in Gas, Power, Renewables, LNG, Agriculture or Crude and Refined Products., • Deep understanding of various functional areas and relevant modules of Endur., • Experience in conducting comprehensive testing and quality assurance activities to validate the functionality, performance, and reliability of Endur solutions., • Worked as part of a cross-cultural/geographical team including flexibility to support multiple time zones when necessary., • Worked as part of a project team structure and delivered results with limited guidance, • Ability to travel to onsite client locations for limited time as per project requirement. If you think you have the necessary skills and experience to excel as a capSpire Consultant we are keen to speak with you.

Scala Developer - UK/Remote My client are seeking a talented Scala Developer to join their engineering team and contribute to the design and development of scalable, high‑performance applications. This role involves working on modern distributed systems, building APIs, and collaborating with cross‑functional teams to deliver enterprise‑grade solutions. Key responsibilities: • Design, develop and maintain backend services and APIs using Scala and Play Framework., • Implement RESTful endpoints, manage request/response lifecycle, and handle authentication/authorization flows., • Write well-structured, idiomatic Scala and use functional programming patterns where appropriate., • Build and maintain automated tests (unit, integration), and support test automation efforts., • Collaborate with product owners, UX, QA, and other engineers in an Agile environment (Scrum/Kanban)., • Participate in code reviews, architecture discussions and pair programming., • Troubleshoot and resolve production issues; contribute to reliability and observability (logging, metrics, alerts)., • Help define CI/CD pipelines and deployment processes (e.g., Jenkins/GitHub Actions/Concourse)., • Produce concise technical documentation and handover notes. Must-have skills & experience: • Strong professional experience with Scala (minimum 3+ years)., • Hands-on experience with Play Framework (2+ years) — building controllers, routing, forms, and HTTP filters., • Solid understanding of functional programming concepts and idiomatic Scala (e.g., immutability, monads, cats/Scalaz familiarity advantageous)., • Experience designing and consuming REST APIs, JSON validation/serialization (Play JSON, Circe)., • Experience with relational databases (PostgreSQL) and/or NoSQL (MongoDB), including schema design and query optimisation., • Proven experience writing unit and integration tests (ScalaTest, Specs2, Mockito, etc.)., • Familiarity with build tools (sbt) and dependency management., • Experience with Git and branching strategies., • Good understanding of HTTP, web security best practices, and performance considerations., • Experience working in Agile teams and participating in ceremonies.

Role Overview We are seeking an experienced Scala Developer to join a dynamic team working on high-impact projects. The ideal candidate will have strong expertise in Scala and Play Framework, with a passion for building robust, scalable backend services and APIs. This is a fully remote contract role with an immediate start. Key Responsibilities • Design, develop, and maintain backend services and APIs using Scala and Play Framework., • Implement RESTful endpoints, manage request/response lifecycle, and handle authentication/authorization flows., • Write clean, idiomatic Scala code and apply functional programming principles where appropriate., • Develop and maintain automated tests (unit and integration) and support test automation initiatives., • Collaborate with product owners, UX designers, QA, and other engineers in an Agile environment (Scrum/Kanban)., • Participate in code reviews, architecture discussions, and pair programming sessions., • Troubleshoot and resolve production issues; contribute to reliability and observability (logging, metrics, alerts)., • Assist in defining CI/CD pipelines and deployment processes (e.g., Jenkins, GitHub Actions, Concourse)., • Produce concise technical documentation and handover notes. Must-Have Skills & Experience • 3+ years professional experience with Scala., • 2+ years hands-on experience with Play Framework (controllers, routing, forms, HTTP filters)., • Strong understanding of functional programming concepts and idiomatic Scala (immutability, monads; familiarity with Cats or Scalaz is a plus)., • Experience designing and consuming REST APIs, including JSON validation/serialization (Play JSON, Circe)., • Proficiency with relational databases (PostgreSQL) and/or NoSQL (MongoDB), including schema design and query optimization., • Proven experience writing unit and integration tests (ScalaTest, Specs2, Mockito, etc.)., • Familiarity with sbt and dependency management., • Experience with Git and branching strategies., • Good understanding of HTTP, web security best practices, and performance considerations., • Experience working in Agile teams and participating in ceremonies. If you're interested, feel free to reach out to me on