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Applications will only be considered for this position with the submission of a cover letter. We’re looking for Trainee Sleep Coaches to join our growing Sleepstation team here at Born Digital Health (). We’re helping shape the future of digital health. We believe that no-one should suffer from treatable conditions and we’ve proven that our digital service can provide fast, effective, reliable and accessible support at scale. Sleep plays a vital role in good health and wellbeing throughout your life and we are working to ensure that no-one is left to tackle these problems alone. Sleep coaches provide daily text-based support and encouragement to service users via our secure and confidential messaging system. They help people to understand and implement effective strategies to improve their sleep. They work to understand the problems each person is experiencing so that they can help them to tailor evidence-based techniques to meet their needs and circumstances. They also keep in touch with users, monitoring their progress while they work their way through our online support programmes, checking in with them at regular intervals (including after therapy) to help people get their sleep back on track and maintain good sleep over time. As a trainee sleep coach, you’ll work alongside experienced sleep coaches and our wider support team, providing personalised support to the people who use Sleepstation. While experience working in healthcare settings or in a support or coaching role would be preferred, it is not essential as full training and ongoing supervision will be provided. Our personalised support is what sets Sleepstation apart, and you’ll be directly making a difference to the lives of many people through this role. Responsibilities • Support users through an online system and respond to queries., • Review user information and feedback; gather insights and work with the team to plan appropriate responses., • Provide information and behavioural guidance on sleep and wellbeing, following set protocols., • Review user progress and escalate queries or concerns internally when needed., • Work within your competence and refer to others as appropriate. Requirements • Fluent in English with strong verbal and written communication., • Ability to manage workload independently and collaborate in a team., • Empathetic and passionate about making a positive impact., • Strong IT skills and confidence using online systems., • Excellent time management and adaptability., • Calm under pressure and flexible in problem-solving., • Willingness to learn and develop in the role. Why join the Sleepstation Team We work with purpose We value impact over activity. You won’t see us focus on the time spent on a task, we aren’t pre-occupied with being busy, we’re focused on being effective. We’re improving lives The positive change that we make to the lives of the individuals that we support is what drives us. We share credit and acknowledge the work of others in delivering our impact. When you experience this every day, you’ll find it drives you too. We stay balanced We make time for the things and people we love. Workaholics aren't heroes here. We don’t expect you to spend your life at your desk. Everyone enjoys a very generous holiday package. We’re remote-first but we also have an office on the quayside in Newcastle upon Tyne where we meet to collaborate and socialise. We care and we listen We are positive. We don’t complain about what’s gone wrong, we work to put it right, together. We treat people equally and we value each person’s opinion and view points. Be willing to challenge and be prepared to be challenged. We put people first We’ve created a workplace that we’re proud to work in. Our people-first mentality is there to see in what we do and how we do it, every single day. There are no “top dogs” here We work together openly and honestly, with respect for others. We appreciate the individual and we invest in your wellbeing. We’ll celebrate with you through the highs and we support each other through any lows. We’re here to share success We reach our goals through real team effort and we’re committed to rewarding input, loyalty and impact. We’ve already achieved a lot, but there’s so much more we could do together.

Title: Senior Engineer - Co-Founder Location: Remote (UK / EU only) Salary: Equity only (to start) - with vesting period. Commercial relationships to be discussed during interview period. Platform: AI-Native Talent Intelligence Platform Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place The Role We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed around deep candidate analysis, structured evaluation, and intelligent matching. Our mission is to build a tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies. The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant architecture, these have been built through use of contractors to date. We are looking for a hands-on Technical Co-Founder / CTO to take full ownership of the platform’s technical direction, architecture, and execution as we scale from early product to category-defining system. Core Responsibilities • Own the end-to-end technical architecture across backend, AI systems, data, and infrastructure, • Lead development of AI-driven scoring, ranking, and decision systems, • Design and evolve advanced search and retrieval systems beyond keyword matching, • Build and scale API-first, multi-tenant backend services, • Lead development of video, voice, and interview analysis tooling within the platform, • Drive the transition from third-party LLM usage toward custom and fine-tuned models, • Ensure platform security, data protection, and GDPR-aligned system design, • Establish engineering standards, CI/CD workflows, and operational best practices, • Act as technical counterpart to product, commercial, and investor conversations, • Manage technical / dev responsibility for any contractor arrangements in place. Technical Requirements Backend & APIs • Strong experience designing REST and/or GraphQL APIs for production SaaS platforms, • Advanced proficiency in Python (FastAPI) and/or Node.js (TypeScript / NestJS), • Deep understanding of multi-tenant system design, permissions, and role-based workflows, • Event-driven architectures using webhooks, queues, and async processing AI, Search & Data Systems • Hands-on experience integrating LLM APIs (OpenAI-compatible or equivalent), • Design and implementation of scoring, ranking, and weighted evaluation systems, • Experience with vector search, embeddings, and semantic retrieval, • Practical use of RAG architectures, prompt pipelines, and structured outputs, • Strong understanding of model evaluation, explainability, and output validation Model Development • Experience with fine-tuning or training models (open-source or proprietary), • Understanding of model lifecycle management, data pipelines, and inference optimisation, • Familiarity with moving from API-based LLMs to self-hosted or private models Video, Voice & Media Processing • Experience working with video, audio, or real-time communication systems, • Familiarity with speech-to-text, audio processing, or conversational AI pipelines, • Comfort designing systems that support AI analysis of recorded interactions Cloud & Infrastructure • Strong experience with AWS-based SaaS platforms, including:, • ECS Fargate, • Application Load Balancers, • IAM, KMS, Secrets Manager, • CloudWatch logging and alerting, • Infrastructure-as-Code using Terraform, • Secure, scalable deployment and environment management, • CI/CD pipelines, automated testing, and release workflows Experience & Profile • Senior-level engineer with end-to-end ownership experience, • Hands on execution responsibility, • Proven track record building or scaling production SaaS platforms, • Comfortable operating across architecture, hands-on coding, and strategic decisions, • Strong product intuition with an ability to translate abstract requirements into systems, • Experience working in early-stage or high-ownership environments, • Clear communicator capable of partnering closely with a non-technical founder Nice to Have • Prior experience as a founder, early CTO, or lead architect, • Background in search, recommendation systems, or decision engines, • Experience with regulated or sensitive data environments, • Familiarity with recruitment, HR tech, or workflow-driven SaaS platforms, • Experience building internal admin tools and operational dashboards There will be a multi-stage interview process including theoretical case study and technical assessment. If you would like to find out more, please apply below. We encourage candidates from all backgrounds to apply, regardless of; race, gender identity, sexual orientation, religious beliefs, age or other experiences.

Senior Data Engineer (Quant & Alternative Data) Location: Abu Dhabi, UAE (relocation support provided) Compensation: £120,000–£300,000 total compensation (fully guaranteed, all-in) The Role We are building a centralised data engineering and research platform that supports quantitative research teams across multiple asset classes. This is not an asset-class-specific role, and not a traditional downstream analytics, BI, or ML-only position. The team focuses on large-scale alternative and unstructured data, working from first principles to define the data foundations, tooling, and experimentation standards used across the investment platform. The work involves messy, evolving datasets, performance-sensitive pipelines, and open-ended technical problems. Much of the stack is built in-house and remains largely greenfield. What You’ll Do • Design and build data ingestion, validation, and transformation systems from scratch, • Own datasets end-to-end, from raw ingestion through validation and transformation to research-ready delivery and downstream consumers, • Work with financial and alternative datasets used in quantitative research, including structured and unstructured data, large-scale text sources, and other high-dimensional, noisy data where failure modes are not always known upfront, • Build frameworks and tooling to support experimentation, • Optimise systems for correctness, robustness, and performance, • Investigate anomalies, inconsistencies, and data quality issues, • Work directly with quants, researchers, and data scientists in an iterative, research-driven environment This Role Is a Good Fit If You • Are strong in Python and SQL, and comfortable working close to raw data, • Have experience building and operating modern data pipelines with real ownership, • Have worked on research-, trading-, or decision-critical systems, • Are curious about modern data tooling (e.g. Polars, Julia, Rust, Lakehouse patterns), even if you haven’t used all of it yet, • Prefer hands-on technical ownership Ideal Background • Systematic funds, quantitative asset managers, HFTs, or trading firms, • FinTechs or financial data providers, • Big Tech or adjacent industries where work maps structurally to quant data problems (e.g. large-scale recommender systems, NLP on unstructured data, anomaly detection, knowledge graphs), • Smaller teams with broad ownership and responsibility Compensation & Benefits • Fully guaranteed, competitive compensation, • Education allowance for dependent children, • 30 working days of annual leave, plus public holidays, • Comprehensive healthcare for employee and family, • Business class relocation flights, • Joining and departure allowances The role is on-site in Abu Dhabi. Short-term remote work during peak summer months is supported. The working model prioritises sustainability and focused technical work. Send your CV and a brief summary to

Do you want to build infrastructure that enables entirely new scientific discovery? Have you scaled data systems for ML workloads where performance actually matters? Are you ready to own foundational infrastructure at global, research-grade scale? We’re working with a mission-driven AI research organisation applying advanced multimodal machine learning (audio, spatial, sensor, text, etc.) to understand animal communication. Operating at the intersection of ML research, large-scale data infrastructure, and real-world biological data, this team functions like a high-performance research lab with production-grade engineering standards. They are entering a growth phase and are scaling the core systems that power distributed AI research, large multimodal datasets, and public-facing data platforms. This is not consumer tech or ad optimisation - the infrastructure you build directly enables new scientific discovery. The role This is a Senior Infrastructure Engineer (Backend / Data Performance) position focused on designing, scaling, and hardening the data and backend platforms that support distributed ML workloads and TB–PB scale datasets. You’ll work closely with researchers and engineers to turn experimental systems into reliable, high-performance, production infrastructure. Key responsibilities • Design and optimise high-performance data pipelines for large, heterogeneous datasets, • Scale public-facing data infrastructure supporting ML research, • Optimise distributed AI workloads for latency, throughput, reliability, and GPU utilisation, • Build observability tooling for data quality, pipeline health, and experiments, • Support GPU infrastructure for large-scale model training, • Translate research prototypes into robust, production systems, • Scope and supervise work for interns, PhDs, and post-docs Key details • Salary: up to £150k (may be flexibility to £160k) (UK), • Working model: Fully remote (UK), • Tech stack: Python, Kubernetes, Docker, Terraform, GCP, GPU clusters, • Visa: No sponsorship, • Seniority: 5+ years backend / infrastructure engineering (flexible for exceptional profiles)

A leading educational institution in London seeks a Digital Lead (Subcontractor) for the ERC project KITAB-Transform.The role involves providing methodological leadership for the development of computational models, collaborating with a research team, and presenting findings at conferences.Applicant

A leading news organization is seeking a Deputy Breaking & Daily News Editor to manage breaking news coverage across various formats.The role involves overseeing a team, making quick editorial decisions, and ensuring timely and impactful reporting.Applicants should have experience in breaking news j