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Account Manager Salary: £30,000 – £38,000 plus annual bonus Location: Fantastic Leeds city centre office Work model: Flexible working based in Leeds Holiday: 28 days, plus bank holidays and your birthday We’re looking for experienced marketeers that are passionate about great results and amazing client service to deliver our web, social and email campaigns You Platforms is a content marketing agency with owned audiences across , and What makes us unique is that we have access to incredible data science that drives the success of our client work. This means that we steer client campaigns on to the right track and can have real confidence in our ability to deliver results. We create novel, multi-channel, native advertising campaigns that make our readers want to take action and we’re looking for people to deliver them for our clients. You’ll be taking responsibility of the process from onboarding through to rebooking so you’ll need to be an excellent communicator and comfortable regularly making calls and attending meetings with our portfolio of clients. Here are a few of the ways that we’re different: – Our average time on page is 6X the industry average – We achieve 400% more conversions – We have an almost unbelievable bounce rate of just 5.9% This role manages campaigns from onboarding through to rebooking, alongside taking an active responsibility in leading the team and ensuring our commercial success. You’ll have access to years of audience insights that tells us what inspires readers to act and interact with our clients, so you can be confident in delivering the results that your client needs, not what they’re getting from traditional media. We call it doing what’s right, not what’s easy. And you’ll share in our success. When your clients win, so do you, with our annual bonus scheme in client services. About the job What you'll be doing • Managing multi-channel digital campaigns from start to finish, • Regularly communicating with clients and stakeholders by email, phone and through meetings, • Managing briefs through our studio, • Managing senior stakeholders, • Keeping clients happy and campaigns on schedule, • Working with our business development team to onboard clients, • Clearly communicating with clients so they always feel valued, • Creating project plans, managing deadlines and handling resources, • Gathering info, assets and insights for client campaigns, • Analysing campaign performance and identifying improvements, • Understanding digital media trends so that we're always ahead of the curve, • Retaining and rebooking clients by providing fantastic customer service About you You’ll need to be a people person that is fiercely candid and charismatic with your clients so that you create a seamless client experience that delivers exceptional results and long-lasting commercial relationships. As well as at least 4 years commercial digital marketing experience, you’ll need top-notch organisational skills and a love of exceeding expectations in a fast-paced environment. High levels of literacy and numeracy are essential as is knowledge of GA4. You must have a qualification in marketing and be able to effectively communicate digital marketing concepts. Professional memberships in marketing are an advantage. Equals One is an advertising and recruitment agency working on behalf of our client to promote this vacancy. You may be contacted directly by the employer should they wish to progress your application. Due to the number of applications we receive, we are unable to provide specific feedback if your application is unsuccessful.

Territory Manager - Dental Sales Yorkshire, Humber & North East England Our client, a leading global company with over 50 years of experience in dentistry, is seeking a motivated and results-oriented Territory Manager to cover their 'Northern' region. They have established a strong reputation for manufacturing and supplying top-of-the-line dental equipment and materials, with their expansive product portfolio catering to a wide range of dental professionals, including dentists, universities and large corporate groups. They achieve this broad reach by working closely with their network of established dealers who act as the middle ground between their innovative products and the end users so the ability to build relationships is key in this position. This company is dedicated to continuous improvement, not only developing new and advanced dental materials but also staying at the forefront of educational efforts by introducing novel techniques. Their commitment extends beyond individual practices, actively partnering with the dealers throughout the country to ensure seamless product flow and exceptional customer service. Responsibilities: • Sell and technically detail a wide range of dental products to dentists, universities and corporate groups through established dealer networks., • Introduce new material techniques and problem-solve for customers., • Support dealer network with orders across the territory., • Work collaboratively with the wider UKI team to achieve both individual and company targets., • Utilize a CRM reporting system and meet established sales targets and deadlines. About You: • Dental sales experience a strong advantage but not mandatory., • Self-motivated and thrive in a fast-paced environment., • Possesses excellent communication and interpersonal skills., • Can work independently and as part of a team., • Has a strong work ethic and the ability to meet deadlines., • Full UK driving licence. The Offer: • £40,000 - £48,000 Base Salary, Dependent on Experience, • £10,000 - £15,000 OTE Bonus, • Company Car, • Comprehensive benefits package including pension & private medical insurance. If you're interested in the above role then please click apply or get in touch with Business Manager – Alex Hepworth to discuss further. Consult will endeavour to contact candidates within 14 days of application. However, if you do not hear back after 2 weeks then please assume on this occasion, unfortunately, you have not been successful.

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: • Tune machine learning methods to best leverage our state-of-the-art processing capabilities, • Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: • Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting, • Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software., • Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible., • Tune machine learning methods for optimal performance., • Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles., • Actively contribute to creating a culture of coding and data excellence, • Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home, • Previous experience in tuning and deploying machine learning methods, • Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, • Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc., • Experience with deploying services in Docker and Kubernetes, • Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches, • Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL), • Experience in source-control software, e.g., GitHub, • Proficient at communicating results in a concise manner both verbally and written, • A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline, • Collaborative and team player, • Logical thinker with a professional and positive attitude, • Passion to innovate and improve processes JBRP1_UKTJ

Role: Senior AI Engineer Location: Remote (UK-based) Type: Full-time, permanent Compensation: Competitive salary + equity available About Veridox Veridox detects fraud in documents and images submitted to insurance companies, airlines, and financial institutions. When someone submits a receipt, ID document, or damage photograph, our platform determines whether it's genuine, tampered with, or AI-generated and explains why. Under the hood, we’re replacing brittle, hand‑wired pipelines with multi‑agent AI that reasons more like a human forensic analyst: pulling signals from multiple tools, weighing messy, conflicting clues, and landing on clear, defensible decisions. The Role You'll work on the core AI systems that make fraud decisions. This means building and improving the agent pipelines that coordinate LLMs, VLMs, OCR and forensic tools. You won’t be just calling APIs, but designing how autonomous agents reason about complex, ambiguous evidence. Day to day, you might be: • Improving how the system handles a document type it's getting wrong, • Designing a new agent reasoning pattern (e.g., cross-referencing findings across multiple documents in a claim), • Debugging why an agent produces inconsistent verdicts on edge cases, • Deploying pipeline changes to AWS and monitoring real-world performance, • Writing tests that verify an agent makes the right routing decision when evidence conflicts The work sits at the intersection of AI engineering, systems design, and a surprisingly interesting fraud detection domain. Builder Mindset We’re looking for people who build systems, not just talk about them. This role is about shipping reliable AI into production: debugging edge cases, improving pipelines, and learning from real-world behaviour. If you enjoy turning ideas into working software and iterating quickly, you’ll fit right in. What We're Looking For You should be strong in: • Python: you write clean, typed code and care about it working correctly at the edges, • Working with LLMs beyond chat: structured output, multi-step reasoning, prompt calibration for reliability, • AWS: comfortable with S3, Lambda, IAM, and deploying services that need to work without you watching them, • LLM/VLM Observability (e.g Arize Phoenix), • Experience with agent orchestration frameworks (LangGraph, LangChain, or similar), • Familiarity with vision-language models for image analysis, • Some exposure to document analysis, OCR, or fraud detection, • The specific AWS services we use (Bedrock AgentCore, EventBridge), • Our domain (insurance fraud, document forensics), • The exact frameworks in our stack These are learnable. What matters more is that you can reason about systems, write reliable code, and think critically about how AI makes decisions. How We Work • Small team, high autonomy, async-first, • Security-conscious by default. We assume all inputs are hostile, • We'd rather halt and ask a question than ship something we're uncertain about, • Code gets attacked before it ships. We review from the perspective of a hostile auditor, • We don't over-engineer. Three similar lines of code is better than a premature abstraction What Growth Looks Like Early on: You're deploying changes to the pipeline, understanding how evidence flows through agents, and shipping features that touch the reasoning layer. Later: You own major subsystems. The document analysis agent, the tool orchestration layer, or the cross-document case analysis pipeline. You're making architectural decisions about how agents reason. Longer term: You're designing novel multi-agent patterns, integrating new forensic tools, and shaping how the platform learns from analyst feedback over time.

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

Title: Principal Forward Deployed Engineer – AI & Customer-Facing Technical Leader Location: Remote Travel: Customer visits 4–5 days/month; occasional team gatherings Salary: Senior: €130–150k base + growth trajectory Principal: €160–200k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We’re looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. You’ll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles. This is a role for engineers who: • Enjoy building real software that makes a difference, • Are passionate about AI and its practical application, • Thrive at the intersection of technical leadership and client engagement What You’ll Do Customer-Facing Leadership • Lead discovery workshops with technical and business stakeholders, • Represent the organisation’s technical capabilities in high-stakes client meetings, • Build and iterate working AI prototypes quickly, • Architect scalable, maintainable systems from prototype to production, • Guide engineers through technical delivery, code reviews, and architectural discussions, • Elevate team capabilities through knowledge sharing, mentoring, and internal workshops, • Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems, • Design evaluation frameworks addressing bias, hallucination detection, and business impact, • Explore novel AI applications while integrating traditional ML techniques where appropriate Who We’re Looking For For Senior Engineers: • 5–8+ years building robust, scalable software systems, • Full-stack development capability across modern technologies, • Client-facing experience or technical consulting skills, • 8+ years delivering complex, enterprise-grade software, • Proven AI/ML expertise with production deployment experience, • Advanced knowledge of transformer architectures, foundation models, and prompt engineering, • Senior stakeholder engagement experience and ability to lead high-level AI strategy

🚀 About Webigence and Spark Travel Webigence has 25 years of experience crafting UX‑first, often highly complex software. Our engineers pair forward‑thinking agile practices with an obsession for intuitive design, shipping products that feel effortless even when the logic underneath is anything but. Alongside a handful of long‑standing third‑party clients, we’re scaling our own SaaS product—Spark Travel—at pace. You’ll join a smart, collaborative team that pushes each other to articulate and defend every architectural decision in pursuit of best‑in‑class software. Spark Travel itself is on a mission to drag the tailor‑made travel industry into the 21st century. Our cloud‑native platform unifies sales, supplier contracting, dynamic pricing, and on‑trip operations—everything from the first quote to the traveller’s safe return. The market is huge, the incumbents are slow, and we already have meaningful traction: roughly 35 customers and an accelerating sign‑up pace, a very healthy sales pipeline, and a roadmap brimming with genuinely novel features. With a fantastic existing team across engineering, product, customer success, marketing, and sales, we’re gearing up for hyper‑growth. We’re looking for two down‑to‑earth professional, a conscientious Senior Software Developer, to build on what already works and unlock our next wave of innovation. 🌟 Your Impact • Raise the bar sensibly. Whether you’re refining our Azure architecture as CTO or shipping revenue‑critical features as Senior Dev, you’ll set high standards without reinventing the wheel., • Champion intuitive user experiences. Both roles care deeply about usability, ensuring our platform feels effortless for travel pros and their travellers., • Own the craft. Understand the problem, ship the solution, measure the outcome—and when something’s working, double‑down on it., • Move the needle. Your work will streamline the day‑to‑day of leading tailor‑made tour operators and DMCs—enhancing trip experiences for their travellers as we scale. 🧭 Role Snapshot 2️⃣ Senior Software Developer • Be UK‑based (remote within the UK) with ability to attend occasional team meet‑ups in London (travel expenses covered)., • Design, build, and maintain features across the stack: .NET (C#) based API backends, Angular (TypeScript) based frontends, SQL Server, Cosmos DB., • Own mission‑critical modules such as pricing engines, itinerary or form builders, client proposal app, etc., • Write clean, tested code; automate everything from CI/CD pipelines (Azure DevOps/GitHub Actions) to performance benchmarks., • Investigate and diagnose issues and perform root cause analysis., • Collaborate cross-functionally with Product, Design, and Customer Success., • Propose incremental improvements and occasionally explore new tech (e.g. Azure OpenAI) when it clearly solves a problem. You might be our Senior Dev if… - Hold a 1st-class or 2:1 degree in Computer Science or a closely related discipline. - 4+ years building modern web or data applications with .NET and at least one JavaScript framework. - Hands-on experience with Azure or another major cloud provider, plus an understanding of microservices and event-driven architectures. - You love balancing delivery speed with technical excellence, and you’re keen to keep learning. 🎁 What We Offer • Competitive salary, equity options coming soon, • Remote‑first culture with asynchronous workflows, • Private healthcare, • Employer pension contributions above statutory, • Home‑office setup budget, • Coworking space allowance, • Flexible hours with async core overlap, • Professional‑development budget, • Conference & certification leave, • Choose‑your‑own‑tech toolkit, • Travel‑to‑London expenses for required in‑person meetings, • Collaborative and innovative company culture 📩 How to Apply • Send your CV., • Confirm you are currently living and legally able to work in the UK., • Share one project or decision you’re proud of, why it mattered, and what you learned. Please note: We are only considering UK‑based applicants who fully meet the role criteria. Applications that do not comply will not be considered now or in future hiring rounds. Deadline: 15th March 2026 (rolling review—apply early). Spark Travel is an equal‑opportunity employer and a welcoming neurodiverse team. We celebrate diversity and are committed to creating an inclusive environment for all. We’re not just saying that, we really mean it!

About us Plessey has a long history of innovation. Founded in 1956, we have evolved from one of Europe’s earliest semiconductor pioneers into the world’s most advanced MicroLED specialist. Over the decades, Plessey has built a first class, fully integrated platform designing, manufacturing, and engineering next-generation display technologies entirely in-house. This end to end capability, combined with our strong IP portfolio, uniquely positions us to lead the scaling of MicroLEDs from lab innovation to high-volume production. Our future is even brighter. We believe MicroLEDs will define the next era of technology—powering ultra-efficient AR/VR displays, driving optical processors that make AI faster and more sustainable, and enabling devices yet to be imagined. With our unique expertise and talented team, we are positioned to lead this transformation. It’s an exciting time to join us: Plessey has recently been acquired by Haylo Labs, accelerating our growth and opening new opportunities. Our Values • Innovation, • Collaboration, • Commitment, • Care Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role • Taking a central role in developing new and applying existing measurement and modelling techniques to help to develop new technologies., • Developing novel measurement methods for QW micro-LED structures., • Working in close collaboration with the Process Development and Process Architecture teams., • Identifying reasons for and solutions to performance limiting behaviour., • Developing and introducing new techniques to help characterise and understand the operation of our micro-LED structures., • Liaise with research institutions such as universities and government laboratories with a view to commissioning work outside of the scope that is possible within Plessey., • Produce clear and concise reports for dissemination of results among the engineering community. Skills, Knowledge and Expertise • Ph.D or MSc in Physics., • Strong knowledge of semiconductor device physics and optoelectronic principle., • Hands-on experience with optical and electrical characterisation techniques for LEDs or photonic devices., • Substantial experience with semiconductor measurements and a demonstrated ability to learn and develop device models., • Strong analytical and problem-solving skills., • Excellent written and verbal communication skills., • Ability to work collaboratively in a multidisciplinary team., • Experience with RF would be an advantage.

The goal of the Audio Machine Learning Research team is to develop novel AI‑powered audio processing algorithms. Practical knowledge of Applied audio ML (TensorFlow/PyTorch, TFLite/ONNX is a plus) and Audio DSP (Python, Matlab and/or C/C++). Hands‑on experience in at least one of the following r

A leading audio technology company based in the UK is seeking a passionate individual to join their Audio Machine Learning Research team. The role focuses on developing novel AI-powered audio processing algorithms that run in real time on physical devices for various applications. Candidates should