32 jobs found

My client is is a leading international technical engineering and construction partner operating across the UK, Ireland, and Mainland Europe. We focus on design and build contracts for end user clients, specialising in the Food, Pharmaceutical, Logistics, Data Centre and Advanced Manufacturing sectors. They are committed to creating the spaces that enable the fourth industrial revolution, whilst ensuring we leave a positive environmental and social Legacy for communities across the world. Our team work with our valued clients and supply chain partners to create a simple agenda concentrated on getting things done. Above all, we are focused on delivering first class projects, executed efficiently, without compromising on safety or quality. Main Duties and Responsibilities for the Planner: Develop detailed baseline/master programs in Primavera P6 based on client requirements and secure approval from clients/engineers. Create tender programs aligned with project requirements. Integrate cost and resource loading into the program. Generate manpower histograms, KPIs, SPI, CPI, S-curves, and cash flow forecasts. Monitor project progress, update schedules weekly, and report potential delays, risks, and recommend corrective actions. Conduct critical path and float analysis and develop recovery strategies for identified schedule risks. Coordinate with clients, vendors, project managers, and stakeholders to ensure timely information flow. Attend weekly meetings with clients and other stakeholders. Manage schedule impacts due to project changes and communicate associated risks. Utilize Earned Value Management (EVM) to track performance and generate reports. Ensure adherence to industry standards and conduct program health checks. Review subcontractor schedules and prepare site look-ahead and construction schedules. Track design progress, procurement status, and long-lead items. Prepare Time Impact Analysis (TIA) and Extension of Time (EOT) claims. Prepare target and mitigation programs to address delays and ensure project objectives are met. Prepare & Issue weekly and monthly reports for clients and management. Mentor junior planners and promote continuous process improvements. Execute any additional Project related tasks as instructed by the Project Director

The role Overview & purpose Reporting to the Data Strategy Lead, the Senior Backend Developer will help design and build software solutions in organised, testable and reusable manner. While Ark Data Centres have offices in Farnborough, Corsham and London, this role is 100% remote and the candidate can work anywhere in the UK. Key responsibilities & duties Develop and maintain robust, high-performing NodeJS applications utilising TypeScript. Customise development and build tools. Implement industry standard best practices and utilise renown supporting libraries. Assist in designing, implementing, and maintaining our Back End development tools and processes. Write clean, tested, well-documented, and maintainable code that adheres to coding standards and best practices. Continued contribution to both unit and integrated testing for all delivered code. Collaborate and coordinate with Front End developers. Stay up to date with latest trends and emerging technologies in Back End NodeJS development and share knowledge with the team. About you Experience Experience in architecting large and/or enterprise level Backend-end applications. Ideally 10+ years of Server Side development experience. Experience in using and deploying to cloud technologies. Deep understanding of standard code design principles, such as SOLID, DI, etc. Extensive experience with writing optimised SQL. Skills & qualifications Essential: Bachelor's degree in Computer Science, Engineering or related field. At least 10 years' of Back End development; seasoned Back End developers that understand how the Javascript and NodeJS ecosystem has developed over the years and have worked with evolving Javascript and NodeJS technologies. At least 4 years' experience in a NodeJS Back End role; experts in NodeJS, its ecosystem and history and know the ins and outs of using advanced elements of the language and supporting frameworks and libraries. Security Check (SC) clearance (commonly required for individuals working with sensitive information). Desirable: Experience with version control systems such at Git. Strong communication and interpersonal skills. Excellent problem solving and analytical skills.

The role Overview & purpose Reporting to the Data Strategy Lead, the Senior Frontend Developer will help design and build React user interfaces for the software solutions in a user-friendly, organised, testable and reusable manner. While Ark Data Centres have offices in Farnborough, Corsham and London, this role is 100% remote and the candidate can work anywhere in the UK. Key responsibilities & duties Develop and maintain robust, high-performing React applications utilising TypeScript. Utilise a deep understanding of CSS3, SCSS, HTML5 and Responsive Design principles. Customise development and build tools such as Babel and Webpack. Develop reusable functional components in TypeScript. Implement industry standard best practices and utilise renown supporting libraries. Ensure full cross-browser compatibility. Understand accessibility concerns. Profile and optimise components for maximum browser performance. Assist in designing, implementing and maintaining our Front End development tools and processes. Write clean, tested, well-documented and maintainable code that adheres to coding standards and best practices. Continued contribution to both unit and end-to-end testing for all delivered code. Collaborate and coordinate with Back End developers. Stay up to date with latest trends and emerging technologies in Front End React development and share knowledge with the team. About you Experience Experience in architecting large and/or enterprise level Front End applications. Experience with Mantine UI framework. Extensive knowledge and experience with React and TypeScript. At least 10 years' Front End development experience; seasoned Front End developers that understand how the Javascript ecosystem has developed over the years and have worked with evolving Javascript technologies. At least 4 years' experience in a React Front End role; experts in React, its ecosystem and history and know the ins and outs of using advanced features like hooks, context, render props, etc. Skills & qualifications Essential: Bachelor's degree in Computer Science, Engineering or a related field. Ability to work independently and as part of a team. Understanding of what makes for good design, aesthetics and UX. Security Check (SC) clearance (commonly required for individuals working with sensitive information). Desirable Experience with version control systems such as Git. Strong communication and interpersonal skills. Excellent problem solving and analytical skills.

Senior Design Manager - Civil Engineering & Construction Location: Lisbon, Portugal with travel required across Portugal Employment Type: Full-time We are seeking an experienced and proactive Senior Design Manager for a Main Contracting client to lead the design delivery of complex civil engineering and construction projects. Based in Lisbon , this role will oversee the full design process from concept through to completion, ensuring coordinated and efficient workflows, high-quality outputs, and effective consultant management across all disciplines. Key Responsibilities: Lead and manage the end-to-end design process across multiple projects, ensuring alignment with client requirements, project timelines, and regulatory standards. Manage and coordinate external design consultants across architectural, civil, structural, maintaining accountability for quality and delivery. Develop, implement, and maintain the design programme , ensuring all design milestones are met in line with overall project schedules. Oversee design workflows and governance , streamlining communication, information flow, and change control across internal and external teams. Review and approve design documentation , ensuring compliance with relevant regulations, technical standards, and project-specific criteria. Chair regular design coordination meetings , ensuring issues are identified, tracked, and resolved promptly. Collaborate closely with Pre-Construction, Planning, Procurement, and Delivery teams to ensure design supports construction sequencing and cost planning. Drive value engineering and buildability reviews , promoting practical and cost-effective solutions without compromising quality. Ensure integration of subcontractor and supplier designs, supporting full coordination during construction. Maintain oversight of design risk and quality assurance processes throughout the project life cycle. KEY REQUIREMENTS: Degree in Architecture, Civil Engineering, Structural Engineering, or Construction Management (or equivalent). 6-10 years' experience in design management or coordination roles on civil engineering or large-scale construction projects. Strong knowledge of CSA (civil, structural, architectural) interfaces. Proven experience managing external consultants and leading multidisciplinary design teams. Ability to manage multiple projects and competing deadlines effectively. Knowledge of Portuguese planning laws, construction codes, and permitting processes is advantageous. Fluent in English (Portuguese language skills are a plus). Strong leadership, coordination, and communication skills. Eligibility to work in Portugal.

Role Overview As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You'll report directly to the CEO/CTO and own the full life cycle of our AI roadmap-from research and proof-of-concept to scalable production. We're looking for a doer who can rapidly prototype models, optimize for performance, and mentor junior engineers, all while helping define product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (eg, deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and emerging frameworks to keep us at the forefront. Recruit, mentor, and grow an AI/ML team as we scale beyond our seed round. Key Responsibilities 1. Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (eg, neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud/on-prem environments (AWS/GCP/Azure) with containerization (Docker/Kubernetes) and ensure low-latency, high-availability inference. 2. Strategic Leadership Develop a multi-quarter AI roadmap aligned with product milestones and fundraising milestones. Identify and evaluate opportunities for AI-driven competitive advantages (eg, proprietary data, unique model architectures, transfer/few-shot learning). Collaborate with business stakeholders to translate big problems into technically feasible AI solutions. 3. Data & Infrastructure Oversee the creation and maintenance of scalable data pipelines (ETL/ELT) and data lakes/warehouses. Establish best practices for data labeling, versioning, and governance to ensure high data quality. Implement ML Ops processes: CI/CD for model training, automated testing, model-drift detection, and continuous monitoring. 4. Team Building & Mentorship Hire and mentor AI/ML engineers, data scientists, and research interns. Set coding standards, model-development guidelines, and rigor around reproducible experiments (eg, clear Git workflow, experiment tracking). Conduct regular code/model reviews and foster a culture of learn by doing and iterative improvement. 5. Research & Innovation Stay abreast of state-of-the-art AI research (eg, pre-training, fine-tuning, generative methods) and evaluate applicability. Publish or present whitepapers/prototype demos if appropriate (keeping stealth constraints in mind). Forge partnerships with academic labs or open-source communities to accelerate innovation. Minimum Qualifications Experience (7 + years total; 3 + years in senior/lead role): Demonstrated track record of shipping AI/ML products end-to-end (from prototype to production). Hands-on expertise building and deploying deep learning models (eg, CNNs, Transformers, graph neural networks) in real-world applications. Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). Leadership & Communication: Proven ability to lead cross-functional teams in ambiguous startup settings. Exceptional written and verbal communication skills-able to explain complex concepts to both technical and non-technical stakeholders. Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. Education: Bachelor's or Master's in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) Preferred (Nice-to-Have) Prior experience in a stealth-mode or early-stage startup, ideally taking an AI product from 0 - 1. Background in a relevant domain (eg, healthcare AI, autonomous systems, finance, robotics, computer vision, or NLP). Hands-on experience with large-scale language models (LLMs) and prompt engineering (eg, GPT, BERT, T5 family). Familiarity with on-device or edge-AI deployments (eg, TensorFlow Lite, ONNX, mobile/Embedded inference). Knowledge of MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar) for experiment tracking and model governance. Open-source contributions or published papers in top-tier AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.). Soft Skills & Cultural Fit Doer Mindset: You thrive in scrappy, ambiguous environments. You'll roll up your sleeves to write production code, prototype research ideas, and iterate quickly. Bias for Action: You favor shipping an MVP quickly, measuring impact, and iterating-over striving for perfect academic proofs that never see production. Ownership Mentality: You treat the startup as your own: you take responsibility for system uptime, data integrity, and feature adoption, not just model accuracy. Collaborative Attitude: You value cross-functional teamwork and can pivot between researcher mode and software engineer mode depending on the task at hand. Growth-Oriented: You continually learn new algorithms, architectures, and engineering best practices; you encourage team members to do the same. What We Offer Equity Package: Meaningful ownership stake, commensurate with an early leadership role. Competitive Compensation: Salary aligned with early-stage startup benchmarks; a large portion of the upside is in equity. Autonomy & Impact: You'll shape the technical direction of our AI stack and lay the groundwork for a market-leading product. Flexible Work Environment: Remote-friendly with occasional in-person retreats or team meetups. Learning Budget: Funds for conferences, courses, or publications to ensure you stay at the bleeding edge. Fast-Track Growth: As our first AI hire and eventual team leader, you'll rapidly expand your responsibilities-and the team you build-within months. How to Apply Please send your resume/CV and a brief cover letter with the subject line: Head of AI Application - [Your Name] In your cover letter, highlight: 1. A recent project where you built and deployed an AI/ML system end-to-end (include technical stack and impact). 2. Any leadership or mentoring experience guiding other engineers or data scientists. 3. Why you're excited to join a stealth startup and move quickly from prototype to production. We will review applications on a rolling basis and aim to schedule initial calls within two weeks of receipt. Equal Opportunity: We are committed to building a diverse team and welcome applicants of all backgrounds. We celebrate differences and encourage individuals who thrive in a fast-paced, collaborative, and impact-driven culture to apply. Ready to build world-class AI from day one? Come join us and help shape the future.