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At Modine, we are Engineering a Cleaner, Healthier World™. Building on more than 100 years of excellence in thermal management, we provide trusted systems and solutions that improve air quality and conserve natural resources. Our Airedale by Modine brand is a world leader in the design and manufacture of innovative thermal management solutions for data centers, clean rooms, hospitals, universities, and other mission-critical environments. Trusted as The Critical Cooling Specialists, Airedale by Modine has decades of experience providing efficient, flexible end-to-end cooling solutions that work smarter, not harder, to deliver more cooling for less power. With manufacturing facilities in Canada, Spain, the UK, and the U.S., we’re scaling up across the world to support an ever-growing demand for our solutions. That’s where you come in…. The Opportunity An excellent opportunity has arisen for a Graduate Controls Engineer to work as part of the Controls Department in Product Development reporting to the Senior Lead Controls Engineer. The Role • As part of a Controls engineering team, develop and test software solutions which automate the mechanical components of Airedale by Modine products, and assist with the specification and validation of controls hardware and electronics., • Work within defined processes and procedures to ensure quality, consistency and safety of Airedale products in line with appropriate standards and regulations., • Collaborate with multi-disciplinary engineering teams to design, develop and qualify both platform product development projects (in support of the R&D roadmap) and proprietary key customer projects within agreed deadlines., • Pursue market leading technical advances to deliver innovation focusing especially on efficiency, reliability and precision., • Use development tools to manage software improvements and bug fixes on existing products, and maintain traceability of software releases and versioning., • Support manufacturing to ensure the quality of products leaving the factory., • Assist the R&D test laboratory with validation testing of engineering prototypes, proof of concept research projects and bespoke products for key customers., • Attend internal/external supplier meetings to identify opportunities for innovation., • Create technical literature and processes to ensure unit configuration is performed correctly both on site and in the factory. Skills/Experience • Minimum Degree level in an Engineering discipline. Electrical Engineering, Software Engineering, Mechatronics, Robotics or Computer Science are preferred., • Experience with PLC or microcontroller technology and IEC61131 programming languages., • Computer literate with understanding of structured software design and text based programming (e.g., C based languages, JavaScript, HTML5 etc.)., • Excellent written and verbal communication skills are essential., • Appreciation of the requirements for developing ergonomic display and web based user interfaces (e.g. HMI, SCADA, touch screen etc.)., • Good knowledge of the fundamental principles of electronics and experience working with electrical systems., • A basic understanding of mechanical systems and the fundamentals of thermodynamics., • A basic understanding of serial communication protocols including Modbus, BACnet and Ethernet TCP/IP., • Appreciation of datacentre HVAC applications and products, especially Chillers, CRAH, CRAC, CDU and FWU., • A desire to pioneer new and innovative solutions with “outside the box” thinking., • Must be able to work on projects autonomously, be self-motivated and able to take initiative., • Enthusiastic and positive attitude towards problem solving. In Return we Offer • Competitive salary, • Contributory Pension 7% Employer and 1% Employee., • 25 days holiday plus bank holidays and the opportunity to purchase an additional 3 days., • Airedale rewards discount on days out and shopping vouchers.

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

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.

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)

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PLEASE APPLY THROUGH THIS LINK:.The mission of Speechify is to make sure that reading is never a barrier to learning.Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can r

A leading AI company is looking for a Senior Backend Engineer to optimize infrastructure and enhance text-to-speech technologies.The ideal candidate will have substantial experience in Python development, GCP, Docker, and Kubernetes.This role offers a competitive salary and a fully remote work envir

This job is posted by our partner Jooble.Below is a snippet of the job description.To read the full text, please click on the "Apply Now" link.Mastek is an agile-focused, global technology solutions provider committed to delivering true value to its customers.Their bespoke IT solutions and services,

This job is posted by our partner Jooble.Below is a snippet of the job description.To read the full text, please click on the "Apply Now" link.Mastek is an agile-focused, global technology solutions provider committed to delivering true value to its customers.Their bespoke IT solutions and services,

PLEASE APPLY THROUGH THIS LINK:.The mission of Speechify is to make sure that reading is never a barrier to learning.Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can r

A leading text-to-speech technology company is seeking a Senior iOS Engineer to lead product decisions and actively ship code for their successful app.This role is perfect for someone with experience in Swift and SwiftUI, able to work in a fast-paced environment.The right candidate will help shape t

Tech Lead, Web Core Product & Chrome Extension - Leeds, United Kingdom. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Da

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