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Trainee AI Engineer - No Experience Needed!\n\nReady to launch a future-proof career in AI - even if you have zero experience?\n\nWe’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location.\n\nWhether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months.\n\nHow it works - your journey to AI success\n\nStep 1: Discover AI\n\nStart your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform.\n\nStep 2: Full-Stack AI Mastery\n\nDive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn.\n\nStep 3: Get Certified\n\nPrepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers.\n\nStep 4: Real-World Projects\n\nShowcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one.\n\nYour guaranteed future\n\nAfter completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home.\n\nWe guarantee a job offer upon completion or 100% of your course fees refunded.\n\nWe’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like.\n\nAt a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nReady to future-proof your career?\n\nIf you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.\n\n‘Please note that this is a training course and fees apply

Data Scientist Placement Programme - No Experience Required\n\nOur training will help you kick-start a new career as a Data Scientist.\n\nWe are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion.\n\nWhether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.\n\nThe traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months:\n\nStep 1 - Full Data Science Career Training\n\nYou will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study.\n\nThis step will fully prepare you for the professional projects that you will undertake in step 4 of this process.\n\nAt the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2.\n\nStep 2 - CompTIA Data+\n\nCompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd.\n\nStep 3 - Official Exam\n\nThe CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online.\n\nStep 4 - Practical Projects\n\nNow that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned.\n\nWhilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage.\n\nYour Data Science Role\n\nOnce you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.\n\nAt a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nRead through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.\n\n‘Please note that this is a training course and fees apply

We are accepting applications from varying seniority levels, from Graduate to Principal Engineer, and will adjust terms accordingly. About Amodo Amodo is a hardware engineering company building the 21st century's most important technologies. Our team of mechanical, electronic, firmware, and software engineers are trusted by world-leading startups, universities, governments and philanthropists to solve pressing technical challenges. See who they are on our website - including MIT, Cambridge, Oxford, Imperial, ARIA and Rand Corp. We are selective in the projects we take on and proactive in seeking out where our exceptional engineering teams can make the most impact. We believe in differential technology development: deliberately accelerating safety-enhancing technologies to ensure human flourishing. Not every technology is inevitable – rather, the market fails to incentivise key domains. We work in these areas. What do we do? At Amodo you will work with a world class team to create some of the most important technologies of our time. We focus on high speed development and real world impact, making sure we’re continually delivering tangible, concrete progress across the board. You will see your designs manufactured and distributed globally, your research inform policy, and you will support multi-million pound projects. We’re currently focused on four key fields: AI safety, biosecurity, humane tech, and accelerating science (developing the hardware tools that scientific breakthroughs require, but don't yet exist). In addition to client work, we want to bring our inventions into the world as spin-out companies, open-source projects, and products. We're actively hiring people to take charge of making this happen. New invention & new research - We design and build new products, equipment, and tools. Invention and rapid iteration are core to our DNA. We use these new inventions and our experience to perform new research and push boundaries. More products than powerpoints - Common failure modes of today’s consultancies include risk aversion, theatre for clients, and misrepresentation of what is important in projects. We reject this approach. We’re here to do truth-seeking, progress-optimising engineering, not to make slide decks. Work that matters - Unlike many consultancies we also get involved at the pre-product stage. Our experience in industry and biotech puts us in the position to run feasibility studies for new and existing companies. This research-heavy work can include literature reviews, feasibility modelling and market research. A bit on our culture and what it would look like to work here: • Our values: Truth-seeking, excellent, enthusiastic, kind, humble, and always learning, • Our approach: We think before diving in, iterate fast, and focus on the highest-impact 80/20 work. We favour rapid experimentation, quick feedback loops, and sprinting to "something that works" rather than over-planning., • Feedback culture: We practice radical candor, which means being clear and direct while staying kind, and welcoming feedback at every level, • No "not my job"-ism: If we see something wrong, we fix it. If your part of a project is going great and another is struggling, don't settle for polishing a chunk of a struggling ship, • Socials: Table tennis every lunch, personal project evenings, pub trips, trail running club, and more, • Office: Spacious, modern space in central Sheffield, with parking and bike storage. In-house workshop and equipment for our mechanical and electrical work., • Project structure: You will generally be on 1 main project at a time, whilst supporting on 1-2 smaller projects. Team sizes vary from 2-10+ engineers, where most are ~4. Durations largely are within the 2 - 8 months range. We value drive, culture fit, and a track-record of engineering excellence and above all else, but the below competencies, interests, and attributes are extremely desirable: • Experience with frontend or backend development, • Experience writing and deploying code in one or more: CPP, JS, TypeScript, Python, • Experience writing firmware and working on hardware projects, • Interest in beautiful UX and graphic design., • Scientific tools, • Automation & robotics (Linux & ROS level), • Embedded C/C++ (typically owned by dedicated firmware engineers, but software engineers are welcome to learn!), • Linux, CUDA, Server engineering for our AI safety, security, and verification work, • Custom simulation software (usually python), • Data analysis pipelines (python) Benefits • Free lunch every day, • Flexible hybrid working, • Flexible working hours, • 35 days holiday (including bank holidays), • We can pay your professional registration and institution fees, • Relocation assistance may be negotiated, • 15 minute technical screening interview, • 1 hour technical interview, • 1.5 hour in-person interview, • Offer

We're supporting a growing battery technology company in hiring a Battery Cell Engineer to help develop and optimise porous silicon anode materials for real lithium‑ion cells. This hands‑on role sits at the intersection of materials science, electrochemistry, and product engineering, working closely with R&D teams to translate advanced material properties into high‑performance electrodes and cells. The Battery Cell Engineer will: • Prepare electrodes and assemble lithium‑ion test cells., • Design and run experiments to evaluate electrode formulations and cell performance., • Analyse electrochemical data (capacity, CE, degradation trends) to identify improvement paths., • Support optimisation of electrode formulation, processing, and cell architecture., • Collaborate with electrochemistry, materials, and process engineering teams., • Document results, report insights, and contribute to technical development and IP. The Battery Cell Engineer will have: • Hands‑on experience with battery cell assembly and electrochemical testing., • Strong knowledge of battery cell formulation, cell design, and performance metrics., • Ability to interpret experimental data and translate it into actionable improvements., • Comfort working in a fast‑paced R&D or start‑up environment., • Strong communication and collaboration skills. This is a great opportunity to play a hands‑on role in developing next‑generation battery materials with real impact on product performance. If you're excited about turning advanced materials into high‑performing lithium‑ion cells, we'd love to hear from you.

Head of AI is seeking exceptional leaders to join our network of fractional Heads of AI. Our mission is to help Biotechnology and life sciences organisations evolve into AI-enabled institutions — embedding AI strategically across their research, development, operations, and decision-making. We are looking for individuals who combine deep technical fluency with board-level leadership, capable of guiding organisations as they adopt and scale the new era of generative and agentic AI. We work with organisations across biopharmaceuticals, drug discovery, genomics, clinical research, digital health, and medical devices, typically ranging from £20m–£500m+ in revenue. These organisations face increasing pressure to accelerate innovation and improve patient outcomes while maintaining strong governance, regulatory compliance, and data integrity. Our fractional Heads of AI support leadership teams in embedding AI capabilities that improve R&D efficiency, strengthen decision-making, and unlock new scientific and commercial value. We recognise that few professionals have completed a full AI transformation in life sciences. Therefore, we seek leaders with proven experience in digital, data, analytics, or operational transformation who are now applying that expertise to AI-led change. You understand how to translate ambition into action — guiding organisations through the cultural, operational, scientific, governance, and regulatory shifts required to unlock AI’s potential. What We Are Looking For: AI-Driven Business Transformation Leaders: Proven experience leading complex transformation programmes where technology, data, and innovation reshaped business performance. Able to apply that experience to the generative AI era — guiding biotech and life sciences organisations through the shifts required to become AI-enabled. Can connect earlier digital, analytics, or automation expertise with today’s agentic and generative AI capabilities. Deep Technical Fluency: Fluent in modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML, analytics, and scientific data systems (e.g. genomics, clinical, real-world data) with emerging AI architectures to deliver measurable value. C-Suite and Board-Level Communicators: Able to simplify complex AI and scientific topics for executives and align AI investments with organisational strategy. Confident advising CEOs, CTOs, Chief Scientific Officers, and Boards on strategy, risk, governance, and ROI. Change Leaders: Strong stakeholder engagement and ability to drive adoption. Skilled in mentoring teams, developing AI literacy, and ensuring responsible AI practices. Understands data governance, regulatory requirements (e.g. GxP, FDA/EMA), and human-in-the-loop design needed for AI success in life sciences. Entrepreneurial Mindset: Thrives in ambiguity and fast-paced environments. Curious about new AI tooling and pragmatic about implementation. Focused on delivering measurable outcomes through experimentation and iteration. What We Are Not Looking For: • Legacy executives without hands-on AI or GenAI understanding, • Academic or research-focused professionals without applied business outcomes, • Technologists who lack leadership or transformation delivery experience, • Consultants who only advise but have not led execution, • Corporate-only leaders reliant on large structures Desired Profile Summary The ideal candidate will serve as a Fractional Head of AI / AI-Driven Transformation Leader, focused on helping biotech and life sciences organisations design and execute end-to-end AI strategies, roadmaps, execution plans, and governance frameworks. They will bring 10–20+ years of experience across AI, data, digital transformation, analytics, or life sciences innovation, with a proven ability to translate technology into measurable scientific and commercial outcomes. They are experienced transformation leaders — such as Heads of Data Science, Chief AI Officers, AI Strategy Leads, or Digital Transformation Leaders — who have evolved beyond model development into organisational change and value delivery. Candidates with a data science or bioinformatics foundation are welcome, provided they demonstrate fluency in modern AI technologies (LLMs, copilots, orchestration frameworks) and executive-level influence. They thrive in fractional roles (1–5 days per week) and bring an entrepreneurial, adaptable, and outcome-driven mindset. We welcome applications from professionals passionate about helping life sciences organisations harness AI responsibly and at scale.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Job Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field, • Fluent English (written/spoken), • Strong hands-on experience on Python, SQL, No SQL., • Hands on experience in coding (mandatory python and SQL or C++)., • Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Familiarity working with large data sets., • Project Management background preferred. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

📍 Remote | Full-Time 👋 About Us Medify is a mission-driven EdTech company widening access to medicine and healthcare careers. Our platform supports thousands of learners preparing for high-stakes admissions exams, and our engineering team plays a critical role in delivering reliable, scalable, and high-quality learning experiences. Medify Engineering is a team of ten engineers across two teams, and everyone is hands on, including engineering management and the CTO, which helps us keep our processes practical and engineer-friendly. We work to minimise meetings: engineers typically have a 15-minute daily standup for in-progress updates and quick alignment with Product, plus (per two-week sprint) a one-hour refinement with Product, a one-hour planning session with engineering, and a 30-minute company-wide demo. Operational work like deployments, bug triage, and on-call is handled on a rotation, with each person covering one week roughly every two months. 🎯 The Role As a Senior Full Stack Engineer at Medify, you will play a pivotal role in shaping our platform and technical direction. Working closely with the CTO and fellow engineers, you’ll be involved across the full software development lifecycle - from ideation and design through to development, testing, and deployment. This is a fully remote, home-based role, suited to someone who enjoys ownership, collaboration and solving complex problems in a fast-moving environment. Tech stack: Ruby on Rails (backend), frontend transitioning from Ember to React, Postgres database, hosted on AWS. 🧩 Key Responsibilities • Design and develop high-quality, scalable, and efficient software solutions using modern best practices, • Collaborate closely with Product and Design teams to understand requirements and provide technical input, • Contribute to architectural decisions and overall system design, • Conduct code reviews and provide constructive feedback to maintain high code quality, • Troubleshoot, diagnose, and resolve software issues efficiently, • Develop and maintain automated tests to ensure performance and reliability, • Mentor junior engineers and share technical knowledge and best practices, • Participate in agile planning, backlog management, and delivery updates, • Stay up to date with emerging technologies and software development best practices, • Support recruitment by contributing to interviews and selection decisions 🧠 Core Competencies • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills, • Ability to thrive in a fast-paced, agile environment, • Leadership and mentoring capability, • High attention to detail and quality 🎓 Qualifications • BS/MS degree in Computer Science, Engineering, or a related field is desirable but not required 🛠️ Experience & Knowledge • 5+ years’ experience in software development, • Extensive experience with modern programming languages and frameworks, • (Ruby on Rails and React highly desirable), • Proven track record of building scalable, efficient software systems, • Strong understanding of the software development lifecycle and agile methodologies, • Experience working with cross-functional teams (Product, Design, Engineering), • Experience recruiting and mentoring junior engineers is a plus 💡 Skills • Proficiency in modern programming languages and frameworks, • Strong grasp of data structures, algorithms, and software design principles, • Experience with databases, APIs, and networking, • Knowledge of software testing methodologies and tools, • Familiarity with DevOps practices and tooling, • Ability to learn and adapt quickly to new technologies, • Clear, confident written and verbal communication ✅ What We Offer • Competitive salary: £70,000–£85,000 depending on experience, • Annual leave: 25 days, rising to 28 days over three years, • Fully remote, flexible working, • Pension scheme, • Professional development sponsorship and matched charity funding, • Private health and dental care after one year of employment

🚀 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 June 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 Plessey We’re building the hardware foundation for next-era computing. Plessey is a world-leading technology company driving the next generation of photonic devices and systems. With over 70 years of innovation, we combine research, materials science, process engineering, and manufacturing under one roof. We’re recognised as a global authority in microLED displays, optical computing, and optical interconnects. Join us to work on breakthrough technologies shaping the future of light-based technology and computing. Lead We don’t follow industry trends; we create them, pushing boundaries and setting standards others aspire to. Every team member has the power to make decisions, drive change, and deliver excellence. We support each other, challenge one another for the best solutions, and lead by example. Together, we build industries and technologies that shape the future and scale toward our vision of the next era of computing. Grow We expand our capabilities every day — deepening our expertise, improving how we work, and pushing the boundaries of what’s possible. Curiosity fuels us: we question assumptions, explore new ideas, and innovate with light-based technologies. By investing in and empowering our people, we strengthen Plessey’s impact and help shape the future of optical technology. Trust We operate like a family—honest, reliable, and supportive. We have each other’s backs, own our actions, and uphold the highest standards of integrity and safety. We trust each other to deliver, our customers to challenge us, and our expertise to guide the way. Together, trust enables the collaboration essential for breakthrough innovation and lasting impact. Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are looking for a Senior Software Engineer to support the development of automated reliability and characterisation test systems for MicroLED devices. The role combines test software development, instrument control, and data analysis, supporting both the execution of reliability campaigns and the analysis of device performance and degradation. The engineer will work closely with hardware engineers and test engineers to develop software tools that control laboratory equipment, automate test procedures, and analyse large datasets generated during device testing. Key Responsibilities • Develop and maintain automated test software for reliability and characterisation systems., • Interface with laboratory instruments and test hardware using LabVIEW, C++, and Python., • Support the execution of device reliability campaigns and engineering experiments., • Develop tools for data collection, processing, and analysis., • Work with engineering teams to interpret results and identify device behaviour trends., • Contribute to improving the automation and robustness of internal test platforms. Skills, Knowledge and Expertise • Master’s degree in Physics, Electronic Engineering, or a related discipline., • Proficiency in LabVIEW and C++., • Working knowledge of Python for data processing and analysis., • Hands-on experience with communication protocols such as SPI and I²C., • Experience working with laboratory bench instruments such as power supply units (PSUs), oscilloscopes, pattern generators and multimeters., • Strong analytical mindset with attention to detail., • Ability to work independently with minimal supervision. Advantage • Experience with NI TestStand for automated test environments., • Background or practical experience in semiconductor device testing., • Experience analysing large datasets and developing mathematical models for device behaviour and degradation., • Familiarity with reliability testing methodologies (e.g., lifetime or stress testing).

The Role Senior/Principal Data Scientist (ML Engineer) responsible for advancing 4-Xtra's AI-powered extreme values forecasting and synthetic stress scenario generation platforms. The role combines hands-on machine learning research and engineering with production system ownership, working at the intersection of extreme value theory, synthetic data generation, and modern AI technologies including agentic AI. The successful candidate will continuously translate academic research into production-grade financial risk products. They will be working under the line management of Academic Co-Founders (with a combined 50+ years of experience in research and industrial innovation). Familiarity with financial risk concepts is expected to ensure effective collaboration with Senior Financial Services Advisor and alignment with the company's financial services market focus. Interest and capacity to expand the applications of the 4-Xtra ML predictive tools from FinTech to other verticals and application domains (such as HealthTech and environment) is desirable. Primary Objectives • Research-driven product development. Lead advanced modelling and AI product development — statistical models, extreme value theory applications, synthetic data generation (SDG), neural network solutions — from research prototype through production deployment. Proactively identify and implement state-of-the-art ML techniques to maintain 4-Xtra's technological competitiveness., • Platform and codebase ownership. Own the core Python backend codebase supporting the AWS environment (EC2, S3, Lambda, RDS, Elastic Beanstalk), ensuring reliability, scalability, security, and maintainability. Manage CI/CD pipelines and GitLab administration., • AI-native development. Leverage agentic AI tools, LLM-assisted coding, and modern AI development workflows across the full development lifecycle — code generation, testing, documentation, and infrastructure automation. Continuously evaluate and integrate emerging AI capabilities to accelerate delivery velocity., • Cross-functional collaboration. Work closely with Academic Co-founders on mathematical models and implementation, and with Senior Financial Services Advisor on domain requirements. Translate quantitative models into product features aligned with financial industry use cases. Participate in client demonstrations and stakeholder engagements as the technical voice of the product. Personal Specification Qualifications & Training: Essential - MSc or PhD in Statistics, Machine Learning, Computer Science, Mathematics, Physics, or related quantitative discipline. Desirable - PhD with published research in machine learning, extreme value theory, synthetic data, or statistical modelling. Experience: Essential - Strong track record building and owning production ML systems and cloud-hosted platforms. Deep Python backend experience. Proven ability to work across research, engineering, and infrastructure in a lean team. Demonstrated ability to translate academic research into working software. Desirable - Experience with financial services data, risk models, or regulatory scenarios. Prior work in a startup or early-stage company. Familiarity with financial risk concepts (stress testing, VaR, scenario analysis) sufficient to collaborate with domain experts. Qualities & Attitude: Essential - Research-hungry and intellectually curious — proactively seeks state-of-the-art techniques. Practical, accountable, and comfortable operating across theory, coding, infrastructure, and delivery. Self-directed with strong judgement. Desirable - Comfortable engaging with financial industry stakeholders (CROs, risk managers, regulators). Effective at explaining complex technical concepts to non-technical audiences. Product Knowledge: Essential - Expert knowledge of Python, AWS, Git/GitLab, Linux, CI/CD, SQL, and modern ML/statistical methods. Strong grasp of generative models (diffusion, GANs, VAEs), transformers, and probabilistic modelling. Proficiency with AI-assisted development tools (LLM coding assistants, agentic workflows) across the full stack. Desirable - Experience with financial data feeds (Bloomberg, Refinitiv) or risk platforms. Frontend development capability (JavaScript/React). Knowledge of extreme value theory or tail risk modelling. What we offer Location - UK or EU based, remote working possible, with occasional in-person onsite meetings as appropriate at the University of Leeds. Hours of work - Full-time, flexible working hours by agreement. Salary - Competitive, subject to qualifications, experience and performance. Employment Benefits - Attractive package.

What are T Levels? T Levels are new courses coming in September 2020, which will follow GCSEs and will be equivalent to three A levels. These two-year courses have been developed in collaboration with employers and businesses, so that the content meets the needs of industry and prepares students for work. T Levels will offer students a mixture of classroom learning and 'on-the-job' experience during an industry placement of at least 45 days. They will provide the knowledge and experience needed to open the door into skilled employment, further study or a higher apprenticeship. The Role The T Level Examiner role is an excellent opportunity to earn some extra money in a contract role, alongside any full-time commitments you may have, whilst also developing your career in education. T-Level Examiners mark candidate responses in accordance with a pre-defined mark scheme, whilst adhering to the Code of Practice and published examination procedures. Assessments will be marked either onscreen using ePEN, which can be completed from home, or by the traditional method, using paper scripts sent through the post. A high level of contemporary subject knowledge is necessary in order to apply the mark scheme. Each examiner will receive an agreed allocation of scripts. Some national travel may be required to attend examiner training and standardisation. We have opportunities available to mark Core Paper 1: Digital Analysis, Legislation and Emerging Issues, Core Paper 2: The Business Environment and Employer Set Project. We are recruiting for below papers Digital Support and Security GEN 2 Core Exam 1 19597 Core Exam 2 19598 Employer Set Project- Data Infrastructure and Network Cabling 19599 Employer Set Project- Digital Support 19600 Employer Set Project- Cyber Security 19601 Responsibilities • To mark accurately and consistently to ensure overall standards are maintained., • To submit samples to your Team Leader at designated times., • To ensure milestones for marking are adhered to., • To ensure all administration is completed as specified., • To attend standardisation, • To regularly mark scripts during the Summer Series and/or Autumn Series Qualifications Essential You will have a degree or equivalent work-based qualification such as a Level 5/6/7 NVQ in computing, computer science or software development or membership of a relevant professional body such as the British Computing Society (BCS) or the Chartered Institute for IT. Be fully conversant with the languages in the specification eg, Python or C based languages such as C, C#, C++, Java Desirable You will be a qualified teacher or hold an equivalent teaching qualification such as Cert Ed, C&G 7404, PTTLLS, CTLLS, DTLLS or an Assessor/Verifier award Experience Required You will hold a minimum of one year's teaching and assessment experience within the last 8 years or equivalent in computing or software development or programming or computer science at Level 3 OR You will have recent occupational experience in one of the following job or occupational titles: Computer Programmer, Software Developer, Software Engineer. Senior Software Developer. Competencies Required • You will have the ability to work well under pressure, • You will have the ability to meet deadlines, • You will have a high level of subject knowledge in order to apply the mark scheme Additional information If you do have teaching experience within the last 8 years, please ensure you list this under 'Occupational Experience' About Pearson Welcome to Pearson, the world's leading learning company. We have a simple mission: to help people make more of their lives through learning. We are the UK's largest awarding body and offer qualifications that are globally recognised and benchmarked, with educational excellence rooted in names like Edexcel, BTEC, EDI and LCCI. We value the power of inclusive culture and embed diversity and inclusion in everything we do. Pearson promotes a company culture where differences are embraced as strengths, opportunities are equal and accessible, consideration and respect are the norm. Through our talent, we believe that diversity and inclusion make us a more innovative and vibrant company. People are at the centre of our company. We are committed to a sustainable environment and workplace ecosystem where talent can learn, grow, and thrive.

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

Position: Senior Waste and Radiation Protection Specialist Location: Milton Park Business Park, Oxfordshire Arrangement: Permanent Work Arrangement: Flexible working between a NUVIA office, home and site. NUVIA UK’s Land Remediation and Characterisation (LR&C) department draws on the strong foundations of NUVIA's metrology and Health Physics heritage, with industry recognised specialists having expertise and experience spanning many decades both within the UK and Internationally. The senior waste and radiation protection specialist will play a key role in providing radiation protection advice and training to support a range of operational projects, such as site investigations, land remediation, drain surveys and waste assay campaigns. In addition, they will provide radioactive waste support in terms of Waste Management Plans, Best Available Technique (BAT) Assessments and Sample and Analysis Plans. The Role As a Senior Waste and Radiation Protection Specialist, your role will include: • Provision of radiation protection advice that will ensure working practices meet the requirements of current Legislation and best practice., • Evaluate the operational environment and the radiological requirements to provide Radiation Risk Assessments (RRA) for the work in hand., • Advise teams on operational styles that should be adopted to maintain a safe working environment and provide training, as appropriate., • Co-ordinate the production of radiological protection documentation such as Normal Operational Dose Uptake Assessments, Radiological Zoning, Radiological Risk Assessments, ALARP Assessments, Operating Instructions and compliance statements., • Develop and maintain knowledge of the characterisation and land quality core services and capabilities., • Engage with regulatory authorities to support Permit applications, transfers and variations., • Provide guidance, advise and training to customers regarding HSE notifications and registration, typically required for land remediation contracts on historic sites, i.e., thorium and radium contamination., • Provide transport RRA’s for radioactive waste and source transfers, • Write technical reports and support characterisation assessments and desk studies., • Attend industry events, conferences, and trade shows as required. Profile Qualifications and Experience To be considered for the Senior Waste and Radiation Protection Specialist role, we are seeking a highly motivated individual, possessing strong communication and interpersonal skills. The following criteria will also be considered: • RPA2000 Certified Radiation Protection Adviser is essential, • Demonstrable experience as a qualified Radiation Protection Adviser (RPA) in operational environments., • Experienced in the technical aspects of waste management and land remediation, including regulatory requirements, and working towards or qualified as a Radioactive Waste Adviser (RWA) would be advantageous., • Experienced in collaborative delivery, working closely with clients, regulators and stakeholders., • Must be able to achieve and maintain Security Clearance (SC) for this role., • A bachelor’s degree in a science related field would be beneficial., • Ability and willingness to acquire job related knowledge through self-development and learning from others, • Must have a full driving licence and be available to visit customer sites, as required. Why join the LR&C team? We like to think of the LR&C team as an intrapreneurial unit, i.e., a start-up initiative delivered within the confines and security of a successful and established nuclear, engineering company. We believe that land remediation is not just about removing contamination, it is about restoring confidence, protecting the environment and enabling the safe reuse of land for future generations. Our LR&C services combine decades of experience, proprietary technologies, and a deep understanding of regulatory frameworks to deliver safe, efficient and sustainable solutions. Since the late 1990s, we’ve been developing and refining in-situ radiological measurement technologies to support land remediation and decommissioning. Our systems are designed to optimise segregation at source, reduce waste volumes and enable the use of lower-impact waste management options. From legacy nuclear facilities to former industrial sites, we provide the tools, expertise and data to enable confident decision-making. We offer a complete range of services, including radiological surveying and mapping of land, buildings, pipelines and boreholes; classification and segregation of excavated materials; sampling and fingerprinting of radionuclides; and real-time data management to track waste from generation to disposal. Our team also supports clients with environmental permitting, regulatory compliance, and the development of waste management strategies tailored to each site’s needs. Whether it’s supporting clearance, delicensing, or redevelopment, we deliver practical, auditable solutions that meet the highest standards of safety and environmental stewardship. Why us? Employee Staff Benefits: • Hybrid and agile working policies, • 8.5% Pension Contribution & Life Assurance, • Private Medical Scheme*, • Employee Share Scheme, • Salary Sacrifice Schemes: Electrical Vehicles, Technology and Cycle to Work, • 25 days holiday (increasing to 28 days after 5 years’ service, 31 days after 10 years’ service), • Option to buy, sell and carry over up to 5 days annual leave per year, • 18 Weeks Full Maternity Pay* (+21w SMP), • In partnership with trade unions, • Personal Development & Further Education Support, • Long Service & Recognition Awards NUVIA UK - a subsidiary of VINCI construction - is an international company that operates across highly regulated sectors including Civil Nuclear and has a strong presence and history of delivery at nuclear sites in the UK and internationally. NUVIA UK is a performance-driven company that is committed to the development of its people within a culture of safety, innovation, and excellence. NUVIA UK is committed towards equality in employment.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

About Plessey We’re building the hardware foundation for next-era computing. Plessey is a world-leading technology company driving the next generation of photonic devices and systems. With over 70 years of innovation, we combine research, materials science, process engineering, and manufacturing under one roof. We’re recognised as a global authority in microLED displays, optical computing, and optical interconnects. Join us to work on breakthrough technologies shaping the future of light-based technology and computing. Our values Lead We don’t follow industry trends; we create them, pushing boundaries and setting standards others aspire to. Every team member has the power to make decisions, drive change, and deliver excellence. We support each other, challenge one another for the best solutions, and lead by example. Together, we build industries and technologies that shape the future and scale toward our vision of the next era of computing. Grow We expand our capabilities every day — deepening our expertise, improving how we work, and pushing the boundaries of what’s possible. Curiosity fuels us: we question assumptions, explore new ideas, and innovate with light-based technologies. By investing in and empowering our people, we strengthen Plessey’s impact and help shape the future of optical technology. Trust We operate like a family—honest, reliable, and supportive. We have each other’s backs, own our actions, and uphold the highest standards of integrity and safety. We trust each other to deliver, our customers to challenge us, and our expertise to guide the way. Together, trust enables the collaboration essential for breakthrough innovation and lasting impact. Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role The Thin Film Ellipsometry Process Engineer is responsible for developing, optimising, and controlling thin-film optical measurement and characterisation processes to support high-yield, high-performance semiconductor device fabrication. This role focuses on ellipsometry-based metrology for deposited thin films across development and production environments. Key Responsibilities • Develop, qualify, and optimise ellipsometry measurement processes for thin films (thickness, refractive index n/k, composition, and uniformity)., • Support R&D and new materials development by providing accurate thin-film characterisation, measurement development, and data analysis., • Own and maintain ellipsometry process recipes, optical models, and control strategies., • Provide accurate metrology feedback to thin-film deposition processes (e.g., PVD, CVD, ALD)., • Analyse film properties including thickness mapping, optical constants, and process-induced variation., • Develop and refine optical models for multilayer thin-film stacks., • Utilise statistical process control (SPC) to monitor tool performance and process stability., • Conduct root cause analysis for measurement drift, model instability, or yield excursions related to film properties., • Collaborate with equipment and process engineering teams to maintain and improve metrology tool performance., • Support new product introduction (NPI) through film characterisation, DOE planning, and process transfer., • Generate technical reports and present findings to engineering and management teams., • Ensure compliance with safety and cleanroom protocols. Skills, Knowledge and Expertise • Bachelor’s or Master’s degree in Materials Science, Physics, Electrical Engineering, or related field., • 3–7+ years of experience in semiconductor or advanced thin-film processing environments., • Strong hands-on experience with spectroscopic ellipsometry., • Solid understanding of thin-film optics, dispersion modelling, and multilayer analysis., • Experience correlating ellipsometry data with complementary techniques (e.g., XRD, AFM, profilometry)., • Strong data analysis and problem-solving skills., • Strong ownership mentality with the ability to work independently in a fast-paced environment., • Adaptable and comfortable with evolving priorities and rapid change., • Excellent cross-functional collaboration skills (working effectively with process, equipment, R&D, and manufacturing teams)., • Clear and confident communicator, able to present technical findings to both technical and non-technical audiences., • Experience with compound semiconductor or dielectric thin films would be an advantage.

Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits The Client: Owen Thomas has partnered with a company that is looking for exceptional engineers that have a genuine interest in working with cutting-edge technology, in a fast-paced environment and a young start-up with big ambitions... The platform uses advanced technologies, such as federated learning and homomorphic encryption, which enable data analysis without moving the actual data. This means that organizations can leverage insights from diverse datasets while maintaining strict control over their own data privacy. The company are in a super exciting phase showing genuine impact in the drug discovery sector. They are facing ever increasing technical challenges around data privacy which requires the use of cutting edge technology. This business unlocks the potential of huge data ecosystems across industries - while alleviating security concerns across all stakeholders! Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits What will you be doing? • Partner with core engineering to revolutionize the IaC, CI/CD, and GitOps ecosystems. If it can be automated, it should be., • Take command of the customer deployment engine. You’ll be the force that turns complex platform installations into seamless, repeatable, and lightning-fast experiences., • You bring 3+ years of heavy-hitting experience and a solid academic foundation in CS, Physics, or Engineering., • Strong experience with Kubernetes, Terraform, Helm with deep expertise within AWS, • You translate complex technical "how-to" into clear, actionable English, building trust with high-level stakeholders and client teams alike., • You don’t just fix bugs; you enjoy dismantling technical barriers and building elegant solutions for real-world users. Experience needed for the Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits • 7+ years of relevant work experience, or a Bachelor’s/Master’s/PhD in Computer Science or related fields (e.g., Physics, Mathematics, Engineering) with at least 5 years of experience in relevant roles., • Proven experience in building, maintaining, and evolving secure containerized systems on Kubernetes and managing cloud infrastructure, on AWS, • Experience using Terraform., • Strong coding skills, preferably in Golang and/or Python, with proficiency in additional programming languages being a plus., • Excellent communication skills: fluent in English (both verbal and written) and capable of constructive and proactive communication., • Confident in taking ownership of problems, gathering ideas for solutions, and effectively conveying approaches to others., • Passionate about continuous learning and eager to work with cutting-edge technology in a dynamic startup environment. Renumeration for the Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits • Salary range Up to £85,000 + Early stage equity, • Fully EU Remote working, • Contribution towards at home office set up or coworking space., • Laptop / Macbook, • Wellbeing budget, • Stock options If you are interested in working in an Engineering team of 25+ people, having a Positive Impact on the world, with some of the brightest minds across Europe to, drop over your CV and if we think you are a good match we will give you a call!

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Venesky Brown Recruitment are currently looking for a Quality Management Lead to join work with the Sizewell C team. This role is a contract position (day rate) which can be based in Suffolk, London or Bristol offices, with hybrid working. Job Purpose / Overview: • The role of the Quality Management Lead (QML) is to ensure Sizewell C (SZC) Project quality requirements are complied with across the full project life-cycle (Contract award, Design, Procurement, Manufacture, Test, Shipping, Construction/Installation, Test/Commission and Contract close out)., • The primary purpose of the Quality Management Lead role is to ensure supply-chain adherence to the contracted quality assurance and quality control requirements. QMLs sit within the PDO Quality Team and are deployed to Programmes to serve this primary purpose. In so doing, day to day reporting is to the Quality Delivery Manager (QDM) who sets out their Programme quality requirements. This includes development and implementation of Project Quality Control Plans and associated inspection and surveillance activities., • Their secondary purpose is to support the PDO Quality Director, the Quality Delivery Manager and their programme in achieving adherence with the Integrated Management System arrangements, putting in place additional project-specific arrangements as required and managing quality for all activities within the scope of the programme. For a given portfolio of work, the Quality Management Lead is the single point of contact (SPOC) for all quality related elements associated with the supply chain. The QML will, on behalf of the Quality Delivery Manager, act as ‘Intelligent Customer’ in the capacity of ensuring that arrangements are in place, and effectively implemented by the supply chain, building on the lessons learned from the Hinkley Point C (HPC) project. Quality Management Leads will also support the Quality Delivery Manager and their respective Multi Discipline Team (MDTs) by the provision of quality management expertise to meet the quality requirements. This is to ensure products and/or services are provided Right First Time (RFT) in line with the SZC Project Goals, and in support of RFT, ensure effective resolution of issues and implementation of corrective actions to prevent recurrence. During manufacturing or construction, the Quality Management Lead shall, as ‘Intelligent Customer’, ensure that manufactured equipment or construction conforms to the contract design and technical specifications. The Quality Management Lead will work with inspection and surveillance bodies and the respective suppliers to ensure appropriate mechanisms and arrangements are in place to manage inspection and surveillance activities in the supply chain, and ensure appropriate inspection and surveillance is planned and executed commensurate with the associated risks. The Quality Management Lead shall also carry out their own surveillance on select manufacturing or construction documentation in accordance with the Surveillance Strategy and, where applicable, perform joint inspections with contracted inspection entities, in line with their own Surveillance Plans to oversee inspection performance. As part of demonstrating their ‘Intelligent Customer’ role, the QML shall measure and report quality metrics. to the project, Quality function and Supply Chain Management and perform regular audit of the supplier and the management of their sub-contractors to ensure supplier performance is maintained. Principal Accountabilities General • Support the development of quality (QA/QC) arrangements for deployment across the SZC organisation., • Implement key quality arrangements related to the following topics:, • Manage Quality Execution, • Support Technical Assessment of Suppliers, • Conduct Supplier Audit, • Conducting Manufacturing and/or Construction Surveillance, • Management of Non-Conformances, • Quality Release Certificate Process (where applicable);, • Undertake actions to resolve issues relating to the implementation of quality and to bring about improvements and support others in these actions. Primary accountability: • Review, accept and monitor Contractors Quality Assurance Plans (CQAP) provided by the supply chain., • Identify needs for supply chain audits, perform audits and resolve findings, • Produce Project Quality Control Plans (PQCP) for each contract/project, • In compliance with the PQCP, ensure deployment of key quality contractual arrangements including the General Quality Assurance Specification (GQAS), Lifetime Quality Records (LTQR) Specification, Quality Release Certificate and the Inspection & Test Plan Specification etc., • Provide relevant guidance to contractors, including contractor’s CQAPs, LTQR partitioning strategies and the arrangements for identifying and planning for Quality Related Activities, • Lead the implementation of LTQR reviews, • Support the determination and application of strategies for progressive provision of LTQRs by contractors., • Develop and maintain effective relationships with internal and external stakeholders including contracted inspection entities, • Ensure manufacturing and construction surveillance per contract is applied in a graded approach of safety function and project importance through surveillance offers and performance monitoring of the inspection agencies used, • Ensure overall effectiveness of ITPs submitted by the suppliers, checking that they are fit for purpose from a quality perspective and have been correctly distributed to the relevant internal parties for review and mark-up of the activities they wish to witness, • Where applicable, establish and check planned inspection witness and hold points marked in the supplier Inspection and Test Plans (ITP) / Quality Plans / Follow Up Documents (FUDs) and monitor their completion, • Coordinate, monitor and improve the efficiency of manufacturing documentation review and where applicable, inspection activities performed by contracted inspection entities, • Coordinate and lead the NNB review and acceptance of relevant manufacturing and construction documentation provided by contractors, • Perform joint inspections, surveillance and audit when required, • Support the monitoring and technical resolution of non-conformances including the management of corrections and corrective actions, • Support the review and acceptance of End of Manufacturing Reports (EoMR), End of Construction Status Reports (ECSR) and End of Erection Status Reports (EESR), • Responsible for the review and delivery of the end of manufacturing records, leading to the quality release of equipment to the SZC construction site, or handover of rooms/buildings/areas, • Produce quality documentation (e.g. specifications, procedures) as required. Secondary accountability: • Implement the quality execution plan within the Programme and undertaken reviews and checks to ensure quality is delivered by the supply chain efficiently and in accordance with programme quality requirements, • Identifying potential Quality issues before they arrive to enable mitigating actions, • Ensure supplier quality control requirements are adequately specified within contract documentation submitted in the Invitation To Tender (ITT), • Ensure quality management processes are correctly applied. Knowledge, Skills, Qualifications, Experience Essential • Position requires experience in project delivery, preferably in the nuclear power sector, with significant focus on project quality, with a solid understanding of the Quality Assurance and Quality Control in major projects across engineering, procurement, manufacturing, construction and commissioning., • A clear and considerable understanding of quality management best practice for deployment by large, complex and contract-led organisations., • knowledge of Quality Systems, ISO 9001, ISO 19443, IAEA GSR-2 and interrelated standards, • Confident and articulate communicator, able to prepare presentation material, and comfortable addressing individuals, small groups and very large audiences., • Able to support and implement practical solutions, whilst remaining open to the ideas of others., • Experience of interfacing with project teams and with supply chain organisations., • Analysis of data, preparing reports and making recommendations., • The ability to influence and to provide constructive challenge which is accepted by others., • The ability to build effective relationships with internal and external stakeholders. Desirable • Knowledge of the nuclear sector, ideally new build., • Knowledge & understanding of nuclear site license conditions., • Ability to speak French is advantageous., • Knowledge of pressure and nuclear codes, • Knowledge of Welding, Non Destructive Testing (NDT), Non-Destructive Evaluation (NDE) Qualifications & Experience • HNC/HND qualification or degree in a relevant science or engineering subject, or equivalent qualification., • Broad experience of implementing a variety of quality related solutions, • Proven track record of delivering results, • Proven leadership experience working in a quality assurance/control environment within the nuclear industry or other relevant safety critical industry., • Proven experience of interaction and resolving issues with a wide range of stakeholders in a multi cultural environment., • Experience performing supplier audits Desirable, • Hold a professional accreditation including IRCA certified auditor, • Corporate Member or working towards membership of the Chartered Quality Institute & Chartered Quality Professional, • Commercial exposure, especially supplier management, • Experience of interacting with regulators e.g. the ONR., • Knowledge of Improvement Methodologies, Tools & Techniques eg. Lean 6 Sigma

The Opportunity We are an Imperial College London med tech spinout building AI-powered clinical decision-support tools certified as Software as a Medical Device (SaMD). Our platform uses real-world EHR data to identify patients at risk of preventable harm — giving NHS clinicians time to act. We are a small, high-ownership team operating at the intersection of clinical AI and healthcare infrastructure. This is a foundational engineering hire with a clear path to Head of Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions on a system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks 🔹 Write software that meets medical device quality standards, producing artefacts that support regulatory submissions 🔹 Collaborate with clinical, data science, and regulatory stakeholders 🔹 Help define engineering culture and processes as the team grows around you What We're Looking For ✅ 5+ years of professional software engineering experience with a strong Python background ✅ Proven experience building and operating production services on Azure or AWS ✅ Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture ✅ Strong written communication; able to document work to regulatory audit standard Nice to Have ⭐ Experience in a regulated software environment (medical devices, fintech, defence, or similar) ⭐ Familiarity with FHIR/HL7 or clinical EHR systems ⭐ Exposure to ML model deployment or monitoring in production Tech Stack Python · Azure · Terraform · Docker · ML Pipelines · FHIR / HL7 · GitHub Actions What's on Offer 💰 Competitive renumeration package, depending on experience 🏖️ 25 days annual leave + bank holidays 🏥 Access to clinical and academic networks 🔀 Flexible hybrid working, London base Growth Path As we move through our next funding round and scale clinical deployments, the expectation is that you grow into Head of Engineering or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.

At Orange Logic, we’ve been solving complex content challenges for over two decades—driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We’re not just building powerful software—we’re building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. The Sr Software Engineer will enhance Orange Logic’s software by participating in the design, development, maintenance and testing process. Your Role at Orange Logic: • Developing high quality software features and architecture that exceeds our customer’s needs, • Takes ownership of projects, including architecture, design, implementation, evaluation, optimization, testing, and deployment, • Obtains feedback from internal teams/clients to maintain/support the product development, • Writes automated Unit and Integration Tests for robust development, • Performs code reviews on other team members’ work, • Collaborates with distributed teams in France, Vietnam, and the United States Ideal Qualifications: • Bachelor’s degree in Computer Science, Mathematics or related field or equivalent experience, • Proficient with any back-end programming languages (i.e. C#, Java, Python, C++, etc.), • An understanding of complex algorithms and data structures, as well as a passion for intellectual challenges, • Strong self-discipline for delivering well-tested, complete features/modules under a tight schedule and the capability for rational thinking, • Experience with SQL relational database management systems is preferred, • Analytical mind with problem solving aptitude, • Ability to work independently Perks of joining the team: • Competitive compensation and benefits designed to support you now and as you grow, • Join a high-growth company where your work directly shapes the product, the team, and your long-term career trajectory How to get started: If you’re up for the challenge to be part of a growing engineering team we’d like to hear from you. Apply today! Note: Orange Logic only communicates with candidates through official @orangelogic.com email addresses or via LinkedIn from a verified Orange Logic Talent Acquisition employee listed under “Meet the Hiring Team.” We do not conduct interviews via text message or request payment for equipment purchases at any stage of the hiring process. By submitting this application, I certify that all information provided herein is true, accurate, and complete to the best of my knowledge. I understand that any false or misleading information may result in disqualification from consideration or, if discovered after acceptance, may lead to immediate dismissal. Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. We respect your privacy. Learn more about how we handle applicant data in our ___.

Are you an experienced Electron Microscopy Scientist seeking a dynamic customer-facing role? This is an exciting opportunity to join a fast-growing, cutting-edge technology business developing advanced imaging software for electron microscopy. In this is a hands-on, customer-facing role you’ll provide pre-and-post sales support to customers. You will sit at the intersection of science, software and applications, helping translate innovative technology into real-world impact across academic research and industry. Key responsibilities include: • Acting as the technical bridge between customers and internal R&D teams, • Supporting installations, configuration and troubleshooting of advanced microscopy software, • Delivering product demonstrations, training sessions and workshops (remote and on-site), • Working closely with customers to understand workflows and recommend optimised solutions, • Feeding back insights to support product development and new feature design, • Supporting pre-sales activities with technical expertise, • Contributing to technical documentation and testing of new software releases, • Representing the business at conferences, workshops and industry events You will bring: • Degree in a relevant scientific discipline (e.g. Physics, Biology, Materials Science, Engineering or similar), • Strong hands-on experience with electron microscopy (TEM, SEM, STEM, FIB-SEM), • Experience with Python and image/data processing workflows is desirable, • A problem-solving mindset with the ability to apply complex techniques in practical settings, • Confident communication skills, • Solid understanding of imaging workflows, analysis software and data handling, • Flexibility to travel (~30%) and engage with customers across the UK and beyond If you’re looking for a role where you can combine technical expertise with real-world impact, and be part of a genuinely innovative, growing team, we’d love to hear from you. Apply now or get in touch for a confidential chat. Key words: Focused Ion Beam, Transmission Electron Microscopy, Scanning Electron Microscopy, light microscopy, microscope, applications, scientist, engineer, senior scientist, hybrid, travel, customer, UK, North West, Midlands, East Anglia, Oxford, Cambridge, Hertford, Manchester, Liverpool, Nottingham, Sheffield, York, Leeds, Harrogate. VRS9246DJ

About Plessey We’re building the hardware foundation for next-era computing. Plessey is a world-leading technology company driving the next generation of photonic devices and systems. With over 70 years of innovation, we combine research, materials science, process engineering, and manufacturing under one roof. We’re recognised as a global authority in microLED displays, optical computing, and optical interconnects. Join us to work on breakthrough technologies shaping the future of light-based technology and computing. Lead We don’t follow industry trends; we create them, pushing boundaries and setting standards others aspire to. Every team member has the power to make decisions, drive change, and deliver excellence. We support each other, challenge one another for the best solutions, and lead by example. Together, we build industries and technologies that shape the future and scale toward our vision of the next era of computing. Grow We expand our capabilities every day — deepening our expertise, improving how we work, and pushing the boundaries of what’s possible. Curiosity fuels us: we question assumptions, explore new ideas, and innovate with light-based technologies. By investing in and empowering our people, we strengthen Plessey’s impact and help shape the future of optical technology. Trust We operate like a family—honest, reliable, and supportive. We have each other’s backs, own our actions, and uphold the highest standards of integrity and safety. We trust each other to deliver, our customers to challenge us, and our expertise to guide the way. Together, trust enables the collaboration essential for breakthrough innovation and lasting impact. Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are looking for an experienced Test Development Engineer to join our team. In this role, you will work with advanced test equipment, helping to develop and improve innovative testing solutions. If you are passionate about test development, enjoy solving complex problems, and want to work with cutting-edge technology, we would love to hear from you. Key Responsibilities • Implement and maintain digital and mixed-signal test solutions., • Specify hardware required for testing such as probecards, interface boards etc., • Develop and optimise test programs for complex devices using Teradyne Ultraflex., • Perform test program, Test HW characterization over temperature (Ex. Shmoo analysis), GRR, Correlation, setup calibration and product qualification., • Drive and perform the Repeatability and Reproducibility Studies which are necessary to transfer a test solution from an in-house development site or from other development sites to a full manufacturing high volume setup., • Define and release procedures for all aspects of test program development (e.g. test program release, test coding guidelines etc)., • Release and support test programs for production., • Collaborate with key stakeholders to ensure on time delivery test coverage and quality., • Work with stakeholders to identify and implement test process improvements. Skills, Knowledge and Expertise • Significant experience in test development within mixed-signal environments, encompassing both analog and digital system validation., • Strong programming skills ( VBA, Python)., • Understanding of digital and analog test principles., • Problem-solving and analytical skills., • Experience with GRR and test program release processes including data analysis software (eg. JMP, Examinator). Advantage • Mixed-signal testing expertises., • Experience with Teradyne Ultraflex., • uLED and /or display panel testing expertise., • Knowledge of Teradyne IRIS100S systems., • Knowledge of semiconductor manufacturing and test flows., • Knowledge of TEL probers., • Expertise with test program control such as git.

Wenham Carter is proud to be supporting a global leader in industrial software in the search for a Director, AI Product - Industrial Intelligence & Platform. This is a high-visibility leadership role shaping how advanced AI is embedded across industrial software products used by some of the world’s most critical infrastructure and asset-intensive organisations. You will sit at the intersection of advanced AI capability and industrial product strategy - defining how cutting-edge machine learning and foundation models translate into scalable, safe, and valuable real-world applications. The opportunity This role is responsible for defining and driving the technical truth behind AI-powered products - including model choices, system logic, and AI capability design from early concept through to production. You will play a central role in shaping the AI product vision and roadmap across a global industrial software portfolio, balancing innovation (0→1) with lifecycle product maturity and enterprise-grade deployment realities. This is a rare opportunity to influence how AI is embedded into complex industrial environments at scale. Key responsibilities • Define and own the technical direction (“technical truth”) of AI capabilities across industrial products, • Shape AI product strategy, roadmap, and requirements in partnership with engineering, data science, and product teams, • Translate emerging AI technologies into viable industrial product opportunities, • Drive AI product requirements (PRDs), prioritisation, and architecture decisions based on customer and domain needs, • Evaluate trade-offs across model performance, data constraints, cost, safety, and scalability, • Identify and mitigate technical, operational, and regulatory risks in AI systems, • Define and track AI product metrics to assess performance and inform roadmap decisions, • Ensure AI capabilities are aligned with industrial safety, security, governance, and compliance requirements, • Mentor and guide junior team members and contribute to a culture of innovation and rigour Key requirements • 10+ years of experience in AI/ML product management or technical product leadership, including 6+ years in senior leadership roles, • Strong technical foundation with recent, hands-on exposure to AI/ML systems (including shipping or influencing production systems), • Deep understanding of modern AI paradigms including foundation models, multi-modal systems, agent-based architectures, and RAG approaches, • Strong Python capability and familiarity with modern ML frameworks (PyTorch, TensorFlow, JAX), • Proven experience balancing innovation (0→1) with mature product lifecycle management, • Strong track record operating in complex, regulated, or industrial environments, • Ability to translate AI capabilities into practical, high-value enterprise use cases, • Exceptional communication and stakeholder influence skills across technical and executive audiences, • Master’s degree in Computer Science, Engineering, Physics or related field (PhD preferred) Why this opportunity? This is a chance to define how AI is productised within one of the most important industrial software ecosystems globally. You will not simply be reacting to trends, you will be shaping how AI is evaluated, prioritised, and embedded into real industrial systems where reliability, safety, and performance matter. This is a role for someone who can operate comfortably between deep technical AI understanding and strategic product leadership, and who wants to see their decisions directly influence real-world industrial outcomes at global scale. To stay updated on roles like this, follow me here on LinkedIn and send me a connection request.

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

🧠 Data Scientist: Machine Learning & Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years UK based candidates only - CITIZEN & DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python. You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production. Key Responsibilities • Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems., • Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets., • Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation., • Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency., • Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences., • Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) • Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy., • Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch., • Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics., • Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus., • Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field., • [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your X-Factor) • Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions., • Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems., • Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Affiniti AI is a UK health technology company building clinical-grade AI tools that improve how therapy is delivered. Our core belief is that therapy contains two kinds of elements: deeply human ones like alliance, attunement, and holding someone in mind, which should never be automated, and replicable ones like psychoeducation, skills practice, and between- session support, which can be. Automating the latter makes the former more powerful. Our product is a blended care tool used by therapists and the services they work in. The Co- Therapist delivers evidence-based exercises directly to patients. The Affiniti Platform gives clinicians oversight and control. It’s a UKCA-marked Class 1 medical device, backed by Meridian Health Ventures, with live client partnerships across NHS talking therapy services, private psychological services, and EAP providers. The role You’ll lead how Affiniti is adopted in practice across clinical services. You’ll design implementation strategies grounded in clinical reality, build trust with service leads and therapists, and deliver training that helps teams use the product well. Staying close to real- world use, you’ll spot what’s working and what needs to change, and carry that insight back into the product team — where you’ll have direct access to the people building what you recommend and founders who prioritise clinical rigour in product decisions. What you’ll be doing • Designing and executing adoption strategies that address barriers to uptake across clinical teams, • Building and maintaining relationships with clients’ clinical teams, service leads, and frontline therapists, • Designing and delivering onboarding, training, and ongoing support for therapists, • Monitoring usage and outcome data, spotting patterns, and acting on them, • Translating clinical insight from practice into product requirements and decisions, • Shaping the therapeutic logic and clinical guardrails for new product capabilities, • Leading clinical review and adversarial testing within our V&V framework Who you are You trained as a therapist. You practiced. You were good at it. And at some point you made a deliberate choice to move beyond the therapy room, because you wanted to shape how therapy is delivered at a larger scale. You’re still a peer to the therapists and service leads you’ll be working with — they trust you because you’ve done the work and you speak their language. You genuinely believe technology can improve therapy without replacing the therapist. Essential • Recognised CBT qualification (e.g. PGDip in CBT, BABCP accredited or accreditable), • Relevant clinical registration (HCPC, BABCP, UKCP, or BPS), • Trained and practiced as a CBT therapist at high-intensity / Step 3+ level, • Led or significantly contributed to a clinical rollout, service change, or implementation project, • Deep working knowledge of CBT protocols, session structure, and mechanisms of change, • Ability to think at the protocol and programme level, not just the session level, • Practical understanding of what drives and blocks adoption of new tools in clinical settings, • Able to communicate clearly across clinical and non-clinical audiences Bonus • Exposure to digital health, health tech, or service transformation programmes, • Experience working within or alongside a product, technology, or innovation team, • Qualification or formal training in clinical supervision, • Familiarity with implementation science frameworks (e.g. Normalisation Process Theory, CFIR)

Bat Specialist Ecologist A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible. LOCATION FLEXIBLE Leeds, Newcastle, Cockermouth, Leicester, Birmingham, Bristol, London or Southampton Are you a bat specialist, either a BER Registered Consultant or a Natural England Class 2 or above bat survey licence holder? Do you have a desire to apply your bat expertise to a diverse project portfolio with the support of an industry leading team? Have you worked on mitigation licensed projects recently and are looking to become a BER Registered Consultant? Or do you hold a bat disturbance and handling licence in Scotland or Wales, or have licensing and bat project delivery experience in Northern Ireland and ROI? Are you eager to enhance your technical skills and develop your career with a defined professional pathway of your choosing? Do you want to work with a team who value and promote health, wellbeing and a fulfilling working life, recognising the commitment required to conduct nocturnal bat survey work? Role Outline As Tetra Tech builds on its demonstrable track record as one of the leading global environmental consultancies, we are seeking Bat Earned Recognition (BER) Registered Consultants and those who qualify as BER Accredited Agents to strengthen our existing BER expertise in the team. We are also looking to expand our bat expertise in the Scotland, Wales, Northern Ireland and ROI teams. As a multidisciplinary consultancy, our ecologists work closely with colleagues from other teams including Planning, Placemaking, Engineering, Transportation and Asset Management and contribute to the identification of opportunities, tendering and project delivery. With ambitions to grow our UK presence, and to contribute to the continued success of Tetra Techs global business, you will join our established network of over 90+ UK ecologists. Our bat specialists are proactive in developing relationships with colleagues from across the business, liaising with the wider ecology team and other technical teams, and supporting them through all stages of a project. Examples of recent bat projects we have delivered include: • Surveys, BER site registrations and mitigation works for several bat species, including hibernation and maternity roosts across the country;, • Use of advanced bat survey techniques (e.g. on sites in Hampshire, Sussex and Dorset) to confirm whether rare bat species such as Bechsteins are present;, • Use of industry-leading survey technology and data analysis systems to ascertain use of habitats by bats for renewable energy and other land-use projects;, • Survey, licensing and mitigation at a range of sites including listed buildings and complex structures with multiple bat roosts present;, • Survey, BER licensing and mitigation for trees on linear infrastructure projects; and We are looking for bat specialists who are proactive in developing their own knowledge and understanding of bats as well as being able to share their knowledge to support the development of others. We want people who have strong field experience and ambitions to develop their technical skills in line with project requirements. With support from the regional and national ecology teams as well as the national bat lead, and in line with our defined career framework, they will continue to develop their expertise. We Lead with Science and follow the advice of our bat ecologists when investing in top-of-the-range equipment to allow them to deliver their roles successfully. We encourage applications from ecologists who have an interest in technological advancements and who are keen to keep on top of the latest developments and guidance. The role will require site work and some travel dependent on location of projects. However, we operate fully flexible, hybrid working which allows our ecologists to choose where, how and when they work, as long as our clients are receiving the high-quality service they expect. We focus on talent and skills, not postcode. Key Responsibilities • Survey Work, Design and Fee Proposal:Design ecological surveys using industry guidance and prepare fee proposals for projects. Conduct specialist bat surveys and support other protected species projects. Survey work will involve a mix of daytime and night-time based work. The individual will be responsible for coordinating survey schedules and project resources effectively., • Data Analysis, Report Writing and Quality Assurance:Accurately analyse bat data, produce high-quality, detailed reports and mitigation strategies, including and successfully obtaining bat mitigation licences. Experience preparing Ecology chapters for Environmental Impact Assessments and Habitat Regulations Assessment would be an advantage., • Task and Project Management:Actively manage delivery of a task within a project or fulfil the role as a Project Manager (after receiving Tetra Tech bespoke project management training), from inception to completion ensuring timelines, budgets and quality standards are met., • Client Engagement:Work closely with clients, including developers, planners and internal colleagues to provide ecological advice and solutions. Build, develop and maintain strong relationships with clients ensuring clear communication and excellent service., • Team Development:Mentor and inspire junior team members across the national team and provide training and on-site guidance to develop other team members in bat ecology and support them on their journey to obtaining their bat licence., • An appropriate academic qualification in a related discipline, • Natural England Class 2 bat licence and/or equivalent for Scotland, Wales, Northern Ireland, ROI, • Bat Earned Recognition Registered Consultant at any Level preferable (but Level 2 and 3 ideally) or eligible to apply to become a Registered Consultant Over 90+ permanent ecologists, including BER Registered Consultants, roost visitor and low-impact licence holders across 14 offices, working as one cohesive team. • IT systems allow seamless remote and flexible working, so proximity to an office is not a barrier., • Cars or car allowances to every member of the team regardless of grade, including for personal use., • Established TOIL system to allow time management to suit specific personal needs alongside seasonal demands., • Career pathway frameworks provide clarity on how to progress., • We encourage the development of well-rounded ecologists who can talk about all stages of a project., • We offer internal and external training and mentoring, including from our in-house experts., • We award a significant financial bonus to anyone achieving Chartered Ecologist status through CIEEM., • We work closely with many other teams, including our own Planners, Archaeologists, Landscape Architects, Masterplanners and Engineers. We take pride in delivering projects effectively for clients. This often requires colleagues to be together- in offices or on site to ensure the best outcomes. However, when possible, we also advocate for flexibility around how, when, and where you work. There is no 'one approach fits all' each team manages their own way of working, we trust our employees and focus on outputs not inputs. Meeting up with colleague and clients face to face in office environments or on site is important for collaboration, face-to-face meetings, appraisals and development. Inclusion At Tetra Tech, we want everyone to feel like they truly belong. Our goal is to create aworkplace where every person is valued and respected for who they are. Everyone is welcome at Tetra Tech. Opportunities and success should only be determined by attitude, capability and collaborative spirit. xrnqpay Be yourself, without apology. For more information on our company, please visit our website . To apply, please submit your resume and cover letter on the Careers portion of our website at Tetra Tech Europe Careers - Jobs ( ) Tetra Tech is an equal opportunities employer and encourages applications from all suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity/shared parental leave, in line with the Equalities Act 2010.

Do you want to use data science to reduce hospital admissions and improve patient outcomes? Have you worked on projects where your models directly influenced real-world care decisions? Are you ready to deliver AI solutions embedded within healthcare systems, not just prototypes? A leading UK consultancy is building a dedicated AI & Data Science team to deliver high-impact work across health and social care. They specialise in embedding technical teams directly within client environments — working alongside clinicians, operational leads, and public sector stakeholders to deliver measurable change. With a strong track record in complex, regulated environments, they’re now scaling their capability across ML, NLP, and advanced analytics. As a Data Scientist (Lead / Principal), you’ll work on projects that directly impact patient care and system efficiency. Recent work includes predictive analytics for fall prevention, combining structured data and clinical notes to trigger early interventions and reduce hospital admissions. Key Responsibilities • Build and deploy data science, ML and NLP models for healthcare and social care use cases, • Work with structured data and unstructured clinical datasets, • Partner with stakeholders to design and deliver end-to-end solutions, • Translate modelling outputs into measurable outcomes (e.g. reduced admissions, improved care pathways) Key Details • Salary: £80,000 - £130,000, • Working model: On-site 3+ days/week with healthcare clients across England, • Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools, • Visa: This role cannot sponsor Interested? Please apply below.

At Orange Logic, we’ve been solving complex content challenges for over two decades—driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We’re not just building powerful software—we’re building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. The Site Reliability Engineer (SRE) is responsible for ensuring the availability, reliability, and optimal performance of critical platform services and applications across Orange Logic’s global infrastructure. This role involves proactive monitoring, incident response, root cause analysis, and continuous improvement to meet internal and external user requirements. The SRE will collaborate closely with infrastructure, development, and operations teams to maintain service excellence in a remote, cloud-based environment. Essential Functions: Application and System Support: • Monitor, administer, and troubleshoot application performance and infrastructure health using observability tools., • Analyze and resolve application issues, provide timely status updates, and perform thorough root cause investigations., • Respond to alerts, outages, and system degradations, executing recovery procedures and supporting post-incident reviews., • Implement and manage infrastructure using Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Puppet., • Administer cloud-native services (e.g., EC2, S3, RDS, Kubernetes) on AWS, Azure, or Google Cloud., • Develop and maintain automation scripts to streamline deployments, configuration management, and repetitive tasks., • Deploy and maintain application monitoring tools such as Prometheus, Grafana, and ELK stack., • Plan and execute application and configuration change procedures with minimal disruption., • Support scheduled maintenance activities including patching, updates, and server health checks., • Collaborate with Development, Infrastructure, and Production Support teams to optimize system performance and scalability., • Identify and implement process improvements to enhance service reliability and deployment efficiency., • Stay informed on the latest industry practices and tools related to site reliability, DevOps, and cloud infrastructure. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field., • 8+ years of experience in site reliability, DevOps, or production engineering roles with increasing responsibilities., • Strong knowledge of distributed systems, cloud platforms (AWS, Azure, GCP), and containerized environments (Docker, Kubernetes)., • Proficient in SQL and scripting languages (Python, Bash, PowerShell)., • Extensive experience with observability stacks and automated alert systems., • Familiarity with web protocols, networking fundamentals, and API performance optimization., • Demonstrated ability to lead cross-functional initiatives and influence without authority., • Excellent verbal and written communication skills with a focus on clarity and action., • Experience mentoring engineering teams and conducting architectural or reliability reviews. Perks of joining the team: • Competitive compensation and benefits designed to support you now and as you grow, • Join a high-growth company where your work directly shapes the product, the team, and your long-term career trajectory How to get started: If you’re up for the challenge to be part of a growing engineering team we’d like to hear from you. Apply today! Note: Orange Logic only communicates with candidates through official @orangelogic.com email addresses or via LinkedIn from a verified Orange Logic Talent Acquisition employee listed under “Meet the Hiring Team.” We do not conduct interviews via text message or request payment for equipment purchases at any stage of the hiring process. By submitting this application, I certify that all information provided herein is true, accurate, and complete to the best of my knowledge. I understand that any false or misleading information may result in disqualification from consideration or, if discovered after acceptance, may lead to immediate dismissal. Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. We respect your privacy. Learn more about how we handle applicant data in our ___.

Are you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. Step 1 - Full Data Science Career Training. You will begin your data science journey by studying a selection o

About the Company Our client is an established, globally operating SaaS business within the travel and hospitality technology space, supporting tens of thousands of customers worldwide. Following significant recent investment in product and platform evolution, the business is now entering a critical phase focused on embedding AI and machine learning at the core of its commercial and product strategy. This is a transformation role with direct visibility at executive level and real influence over how the business evolves. The Opportunity This is not a traditional data science role. You will operate at the intersection of AI strategy and hands-on execution, working directly with senior leadership to define, build, and deploy AI-driven capabilities across the organisation. The focus is on practical application, speed, and measurable impact — particularly in areas such as pricing optimisation, forecasting and intelligent automation. You will play a central role in shaping how modern AI technologies (LLMs, prompt engineering, ML models) are embedded into both the product and the broader business. Key Responsibilities • Design and implement AI-driven solutions across product, pricing, and internal workflows, • Apply LLMs and prompt engineering techniques to real-world business challenges, • Build and deploy machine learning / deep learning models, particularly within pricing and forecasting contexts, • Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant), • Influence product and engineering teams to adopt AI-first thinking, • Help modernise and evolve legacy systems into scalable, future-ready architectures, • Drive standardisation of data, language and structures across the business, • Deliver solutions that are production-ready and commercially impactful, not theoretical Experience & Technical Background We are looking for a strong blend of hands-on AI capability and applied commercial thinking, including: Core AI / LLM Expertise • ~5+ years working with AI, including prompt engineering and LLM structures, • Strong understanding of how to manipulate and optimise LLM outputs, • Experience integrating AI into production environments via API-based architectures Data & Architecture • Experience consuming and working with data via APIs, • Exposure to MCP (Model Context Protocol) or similar frameworks (desirable, not essential), • Ability to work with complex, distributed and evolving data environments Machine Learning • Strong grounding in machine learning and/or deep learning models, • Understanding of regression models and predictive modelling, • Interest or experience in price forecasting and predictive analytics Who You Are This role is as much about mindset as it is about technical capability. You are: • A builder and operator — you lead by doing, not delegating, • A pace-setter — others follow your example, • A change agent — you challenge the status quo and improve how things are done, • Highly execution-focused — you can explain a solution clearly in minutes, not documents, • Equally comfortable with strategy and hands-on delivery, • Commercially driven — focused on revenue, growth, and real-world impact, • Resilient and adaptable — comfortable working with both modern and legacy systems, • Motivated by solving complex problems and seeing your work deployed at scale You also bring: • A strong appreciation for structured thinking, language, and data consistency, • A desire to bring clarity and standardisation to complex environments, • A collaborative mindset — able to work effectively across engineering and leadership teams Package: • Up to £150,000 base salary, • 15% performance-based bonus, • Fully remote working, • Ability to make a real difference at executive level, • Vast career opportunities, • Many other perks... Why This Role? This is a rare opportunity to step into a high-visibility, high-impact AI role within a scaling SaaS business, where you will directly influence product direction, commercial outcomes and the adoption of AI across the organisation. If you’re looking for a role where you can build, shape, and deliver — not just advise — this is it.

Location: Cheltenham INTRODUCTION We are looking to hire a skilled Software Developer to join our dynamic and innovative team. As a Software Developer, you will be responsible for designing, implementing, and maintaining high-performance, scalable software solutions using Python and related technologies. You will collaborate closely with cross-functional teams to develop and deploy robust web applications, leveraging your expertise in Flask, MongoDB, HTML, CSS, Bootstrap, JavaScript, RESTful services, Docker, AWS, Jenkins, and Git. RESPONSIBILITIES • Design, develop, and maintain Python-based web applications using the Flask framework., • Implement efficient data storage solutions using MongoDB., • Create responsive and visually appealing user interfaces using HTML, CSS, and Bootstrap., • Enhance user experience through dynamic client-side scripting with JavaScript., • Develop and integrate RESTful services to support seamless communication between frontend and backend systems., • Containerise applications using Docker for streamlined deployment and scalability., • Deploy and manage applications on AWS cloud infrastructure., • Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins., • Collaborate with cross-functional teams to understand requirements and translate them into technical solutions., • Ensure code quality, performance, and security through rigorous testing and code reviews., • Utilise version control systems, particularly Git, for managing the codebase and collaboration. EXPERIENCE / REQUIREMENTS • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent work experience)., • Proven experience (1.5 years) as a Python Developer, with a focus on web development., • Proficiency in the Flask framework and MongoDB database design and management., • Strong understanding of web technologies including HTML, CSS, Bootstrap, and JavaScript., • Experience building and consuming RESTful APIs., • Familiarity with containerisation technologies such as Docker., • Hands-on experience with cloud platforms, particularly AWS., • Knowledge of CI/CD tools such as Jenkins for automated deployments., • Solid understanding of version control systems, particularly Git., • Excellent problem-solving and analytical skills., • Strong communication and collaboration abilities. ADDITIONAL REQUIREMENTS • Occasional UK travel may be required to attend team or customer meetings, events, and training activities., • Flexible working arrangements are available; however, there is value placed on teams being co-located in offices. Applicants are encouraged to discuss what may be possible during the application stage.

Machine Learning Scientist (Contract → Full-Time Potential) Location: Remote (Contract) Duration: 3–6 month contract (with potential to convert to full-time) Company: Stealth-stage MedTech (AI in Oncology) About the Company Our client is rapidly scaling, stealth-stage medtech company applying advanced AI to transform cancer care. Founded in late 2025 and led by experienced operators and researchers, we are building proprietary, data-driven models to improve cancer surveillance, diagnosis, and treatment decision-making. Our work is powered by rich longitudinal patient datasets, with strong in-house expertise in genomics. We are not focused on traditional imaging AI—instead, we tackle complex, multimodal clinical data to drive real-world impact in oncology. The Opportunity We are looking for exceptional AI Researchers / ML Engineers to join us on a high-impact contract basis (3–6 months) to accelerate model development across large-scale patient datasets. You will work closely with our Head of AI and core research team, contributing to the design, development, and deployment of models for: • Risk prediction, • Patient outcome modeling, • Clinical decision support High-performing contractors will be considered for full-time roles as we expand our team in Boston later this year. What You’ll Do • Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.g., EHR), • Develop models for risk stratification and outcome prediction in oncology, • Work with multimodal data (clinical, genomic, and other structured/unstructured sources), • Own the end-to-end ML lifecycle: data processing, experimentation, validation, and deployment, • Collaborate closely with cross-functional teams including AI researchers, engineers, and domain experts, • Translate research insights into production-ready systems What We’re Looking For Core Requirements • Strong background in machine learning and ML engineering, • Experience working with real-world healthcare data, especially: Electronic Health Records (EHR), • Longitudinal patient datasets, • Proven ability to design and run rigorous experiments, • Experience deploying models into production environments, • Strong programming skills (Python, PyTorch/TensorFlow, etc.) Preferred / Differentiators • Experience with genomics or multimodal biomedical data, • Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science), • Experience in healthcare AI, medtech, or clinical data environments, • Background in statistical modeling, causal inference, or time-series analysis Who You Are • A hands-on builder who can move quickly from idea → experiment → production, • Comfortable working in a fast-paced, early-stage environment, • Able to balance research depth with engineering execution, • Motivated by applying AI to high-impact problems in healthcare Why Join Us • Work on cutting-edge AI problems in cancer care with real-world impact, • Access to proprietary, high-quality patient datasets, • Collaborate with a world-class AI and genomics team, • Flexible contract structure with clear path to full-time, • Join early and help shape a high-growth company pre-public launch

🚀 Hiring: Forward Deployed Engineer (Fully Remote across the UK) I’m partnering with a leading Revenue Ops platform transforming the commercial insurance space with a cutting-edge AI system that pulls from hundreds of data sources to modernize underwriting. 💰 $180M funded (Series A–D) 📈 7-figure recurring revenue 🌎 Fully remote 🧠 World-class engineering team This is a high-impact, customer-facing engineering role where you’ll architect and build custom solutions directly with enterprise clients. You’ll be writing production code, owning implementations end-to-end, and shaping long-term customer success. Must have experience: • BS in Computer Science, • Strong programming skills + SQL (live coding interview, no AI allowed), • Currently shipping production code, • Experience leading complex B2B SaaS implementations, • Forward Deployed / Solutions Engineering background, • 6+ years of experience, • Startup experience (Seed- Series E) Compensation is flexible and tailored to experience — we’re open to candidate expectations Fully remote across the UK

A Data Scientist with banking experience designs predictive models, analyzes financial data, and develops ML/NLP solutions for risk management, fraud detection, and customer analytics. Key responsibilities include building credit risk scorecards, automating data pipelines, and ensuring regulatory compliance, typically requiring 3–5+ years of experience with Python, SQL, and statistical modeling in financial institutions. Key Responsibilities • Predictive Modeling & Analytics: Develop behavioural segments, credit risk scorecards, and predictive models for customer onboarding, cross-selling, and churn retention., • Fraud & Risk Management: Utilize advanced analytics to identify anomalies and fraudulent activities in transaction data. Implement risk models (probability of default) and maintain regulatory compliance., • Data Handling: Extract, clean, and analyze structured and unstructured data from internal/external sources., • Technology & Tools: Write advanced SQL queries and Python/R scripts for data manipulation and build machine learning algorithms (e.g., Scikit-learn, TensorFlow)., • Stakeholder Communication: Translate complex analytical findings into actionable business insights for management. Required Experience & Skills • Domain Expertise: 3+ years of experience in banking or financial services, specifically in credit risk, fraud strategy, or compliance. Need candidates with 3–8 years’ experience in GenAI/Data Science, strong in Python, LLMs (RAG/fine-tuning), NLP, ML model deployment (MLOps), and cloud (AWS/Azure/GCP), with proven delivery in enterprise use cases

Company description: At Warburtons, family is at the heart of our business. Five generations'? worth of expertise that goes into making our bakery products allows us to continue a tradition of baking inherited over the past 150 years. Warburtons is the largest bakery brand in the UK, but that doesn't allow us to rest on our laurels. We are pioneers of the industry and ambitious market leaders, always seeking to challenge ourselves and convention. It is part of our philosophy to provide honest good sense on issues of health and well-being, helping the whole family to enjoy our products as part of a healthy, balanced diet, through a range of products to suit all meal occasions, lifestyles and tastes. Job description: As the UKs No. 1 Bakery Brand we have been baking bread since 1876. Today, we are proudly a fifth-generation family, with the introduction of the sixth generation, supplying over 18,000 retail customers from 11 bakeries and 16 depots, producing a range of over 70 products including gluten and wheat free. Family and values are what makes us different, and we are a proud bunch, join us and you too could be proud to be Warburtons. Job Title:Compliance Manager Role: Compliance Manager Location: Bolton Benefits include : aprofit related bonus, life assurance, discount vouchers, health and wellbeing support, free onsite parking, canteen, onsite physio, holiday purchase scheme Are you an experienced Food Safety Manager, Quality Manager, or a Technical Manager within a food manufacturing environment, and looking for your next challenge? We have a new opportunity for an experienced Compliance Manager in our new Bakery, 41 Bakery. Our Compliance Manager is the food safety and hygiene subject matter expert and will lead our operations in achieving and improving our compliance standards. You will support the site to always be audit ready for unannounced BRC audits, working with Kosher and Halal food standards, and have experience of managing external audits in your previous roles. Youll be our safe pair of hands, able to pick up the day to day from a supported handover whilst also being able to make your own impact with ongoing projects. We have a brilliant team in Boltonand with additional support from our Centre Quality teams, youll be able to hit the ground running. The Recipe Working closely with the Food Quality team and Manufacturing teams you will be the food safety & hygiene lead to ensure processes are proactively managed using evidence led data, continuous improvement techniques that are measured by company KPIs and implementing the Unbeatable Quality Strategy to ensure Warburtons manufactures and distributes products to the required standard. As part of our food technical management team and as our Compliance Manager, you will work in close conjunction with production, health & safety, and hygiene teams, driving a mixed agenda of planned and reactive work through quality and consistent processes. You will be able to build relationships quickly and effectively with the national Quality Compliance team, suppliers, auditors for food safety & hygiene and other site contacts. Our Compliance Manager is responsible for implementing and managing the food safety and hygiene standards in the Quality Management System (QMS) to ensure that all relevant standards are achieved.Youll work in partnership with the production teams to ensure operations are conducted in compliance with Warburtons standards whilst meeting all applicable external requirements. Youll be the site lead for food safety requirements including microbiological product and environmental monitoring. Legionella and allergens. Youll be a key contributor to the generation and delivery of national and local strategies, management of budgets, profit delivery plans and implementation of business plans. Our Compliance Manager will be the food safety and hygiene subject matter expert in leading the site to achieving and improving compliance standards. Working collaboratively, youll ensure that our colleagues fully understand the importance of food safety and hygiene at site; responsible for ensuring training and delivery plans are in place to enable our teams to have the appropriate skills and competency. Also working with our Head Office Quality team, manufacturing, and distribution to write and develop appropriate food safety and hygiene related training. We are looking for you to have a coaching and motivational style to encourage the team to achieve plans, goals, and targets; working with site engagement plans to ensure delivery. Youll be strong in people leadership and performance management with a natural communication style. The Role Lead and enable the site (s) activities in delivering unbeatable quality products working in collaborative partnership with site and Centre Quality colleagues. Act as the food/feed safety and hygiene subject matter expert to lead the sites in achieving and improving compliance standards. To identify opportunities and development plans for improvements and achieve within agreed timescales. Implement and manage the food/feed safety and hygiene standards in the Quality Management System to ensure that all relevant standards are achieved. As part of the Manufacturing Leadership Team, contribution to the generation and delivery of national and local strategies. To work in collaboration with the Technical Manager to manage all internal (site and inter-site) and external audits, including relevant regulatory body interventions. To manage suppliers of services & products that can impact hygiene. To ensure at site that all employees understand the importance of food/feed safety and hygiene at site(s). To lead, motivate, coach and develop Compliance team member(s) to achieve the plans, goals and targets set. Essential Ingredients Youll have experience of managing food safety and a hygiene function within a food manufacturing business Have previously managed BRC audits A background and experience managing quality systems and external standards implementation Science or food-based experience with food technology qualifications or similar Level 4 HACCP & Food Safety qualifications as a minimum Trained and competent in COSHH & IOSH Managing Safely Working knowledge and understanding of food microbiology Knowledge of Quality and Food Safety systems and legislation Management of people & teams Desirable Understanding of CIP systems, risks and optimisation opportunities. Knowledge of SAP ERP applications. Knowledge of industrial bakery processes: plant, product, ingredient functionality and process technology. Extra Dough Last but by no means least, you'll want to know what your breads worth. A slice of the annual profits (discretionary profit share) Family time is important to us so as well as your holiday entitlement, we'll give you the opportunity to purchase up to an extra weeks annual leave Award winning pension scheme with company contributions Private medical insurance and life assurance Products you will love along with deals and discounts for you and the family through our Extra Dough website Continued investment in your personal development Fully stocked kitchens filled with our delicious products for you to enjoy with your daily brew! Support for your health and wellbeing, including access to free physiotherapy, 24/7 access to a confidential helpline for practical advice and a comprehensive occupational health service We respect and value difference. We look to create an inclusive workplace that promotes and values diversity. Companies that are diverse in age, gender identity, race, religion, sexual orientation, physical or mental ability, ethnicity, or any other aspect which makes them unique, are proven to be better companies. More importantly, creating an environment where everyone, from any background, can do their best work, is the right thing to do. TPBN1_UKTJ

You’ll be the Data Science Researcher who:. Data Science Researcher Up to £140k+ | Start-Up | ML | Python | Finance. Python | Machine Learning | Quant Research | Trading | Finance | Research Pipelines | AI Tools | Hypothesis Testing | POCs | Exchanges | Mathematics |Do you want to join a fast-gro

Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and thr

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